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GitHub Repository: eclipse/sumo
Path: blob/main/docs/sumo.bib
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@inproceedings{Bajpai2011,
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author = {Ashutosh Bajpai and Tom V Mathew},
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booktitle = {1st Conference of Transportation Research Group of India},
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title = {Development of an Interface between Signal Controller and Traffic Simulator},
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year = {2011},
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month = {12},
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organization = {Transportation Research Group of India},
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abstract = {Adaptive Traffic Control algorithm is an important strategy to manage
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traffic at an intersection. These are an improvement of vehicle actuated
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signal control, where explicitly strategies are formulated to compute
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the signal timing considering the current traffic state obtained
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from sensors. However, field evaluation of these strategies is cumbersome
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and expensive and hence simulators which model traffic system can
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be a good alternative. The main challenge in this is a good interface
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between the signal control system and the traffic simulators. The
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signal control system needs the state of the junction in terms of
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vehicle occupancy at every instant. On the other hand, traffic simulator
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needs information on whether the signal state has changed. This two
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way communication requires an efficient interface which is similar
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to client-server architecture. The simulator acts as the server where
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as the adaptive control strategy act like client. This paper proposes
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an efficient interface to couple adaptive control strategy and traffic
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simulator. This interface mediates between traffic control system
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and traffic simulator and provides online interaction to simulation
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from the control strategy. This interface facilitates pure procedural
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routines to communicate and is written in C language along with Python/C
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API. Additionally, a module to estimate the vehicular delay due to
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the control strategy is developed. This delay is estimated by defining
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effective length of queue, which is provided as a user input.
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31
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This interface is tested using SUMO (Simulation for Urban Mobility),
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which is an open source, microscopic, space continuous and time discrete
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simulator developed by German Aerospace Centre. The traffic control
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strategy is analogous to the HCM vehicle actuated traffic control
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except that there is a queue prediction model which computes upper
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limits on the maximum green time. An isolated four arm junction having
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four phases is simulated for various flow conditions. The simulator
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supplied the state of the downstream detector to the traffic control
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algorithm at every simulation step and the control algorithm determines
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the signal time strategies (phase termination, green extension, and
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maximum green time). These strategies are communicated to the simulator.
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These communications were facilitated by the proposed interface.
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The average stopped delay is computed as the performance parameter.
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The interface was also coupled with another traffic simulator (VISSIM)
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and the results are compared. This interface justifies the concept
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of reusability by the evaluation of number of control strategy.},
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file = {:https\://sumo.dlr.de/pdf/CTRG_Interface-SUMO.pdf:URL},
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groups = {used, TLS, IIT Bombay, assigned2groups},
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keywords = {Traffic simulator, Signal controller, Procedural Interface, SUMO (Simulation of Urban Mobility), VISSIM (Verkehr In St�dten - SIMulationsmodell)},
51
owner = {dkrajzew},
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timestamp = {2012.02.07}
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}
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55
56
@inproceedings{Bamberger2010,
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author = {Walter Bamberger and Josef Schlittenlacher and Klaus Diepold},
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title = {A Trust Model for Intervehicular Communication Based on Belief Theory},
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booktitle = {Social Computing (SocialCom), 2010 IEEE Second International Conference
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on},
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year = {2010},
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pages = {73-80},
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publisher = {IEEE Computer Society},
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note = {Best SocialCom Conference Paper Award},
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abstract = {Vehicles will exchange much information in the future in order to
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efficiently maintain their inner model of the environment. Before
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they can belief received pieces of information, they must evaluate
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their reliability. Trust is a mechanism to estimate this reliability
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based on the sender. As cars often drive the same route, they meet
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each other again and again. They can establish friendship-like relations
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and thus are embedded in a social structure. A trust model depends
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on this social structure. For this reason, we simulate the driving
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pattern of a small town. Within this simulation, all cars are equipped
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with a trust model that continuously monitors the experiences made
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with others. The developed model focuses on direct experiences of
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the individual and not on a system-wide reputation which would depend
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on a central unit. It continuously evaluates the performance and
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reputation of other cars and includes a feedback loop to faster adapt
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to changes in the other�s behaviour. To make a decision out of the
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collected data, the model uses the capacity of the binary error and
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erasure channel from information theory. This capacity provides a
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better decision criterion than the traditional expectation value.
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The proposed trust model is an individual-level model; nonetheless
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it can be connected to a system-wide reputation mechanism.},
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doi = {10.1109/SocialCom.2010.20},
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keywords = {V2X, sumo, Technische Universit�t M�nchen, Fidens, automobiles, road
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traffic, security of data, telecommunication security, belief theory,
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cars, driving pattern, vehicular network, social structure, trust
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model},
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url = {http://mediatum.ub.tum.de/node?id=997457}
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}
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93
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@mastersthesis{Barber2011,
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author = {Anthony Barber},
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school = {University of Tulsa},
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title = {SHARING THE ROADS USING ROUTE INFORMATION SHARING},
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year = {2011},
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file = {:https\://sumo.dlr.de/pdf/BarberThesis.pdf:URL},
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groups = {used, navigation, University of Tulsa, assigned2groups},
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keywords = {University of Tulsa, sumo},
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owner = {dkrajzew},
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timestamp = {2011.09.19}
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}
105
106
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@article{Barlovic2001,
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author = {R. Barlovic and Elmar Brockfeld and A. Schadschneider and M. Schreckenberg},
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journal = {Physical Review E},
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title = {Optimizing traffic lights in a cellular automaton model for city traffic},
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year = {2001},
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month = {Oct},
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note = {LIDO-Berichtsjahr=2003,},
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number = {64, 056132},
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pages = {056132},
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volume = {64},
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abstract = {We study the impact of global traffic light control strategies in
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a recently proposed cellular automaton model for vehicular traffic
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in city networks. The model combines basic ideas of the Biham-Middleton-Levine
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model for city traffic and the Nagel-Schreckenberg model for highway
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traffic. The city network has a simple square lattice geometry. All
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streets and intersections are treated equally, i.e., there are no
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dominant streets. Starting from a simple synchronized strategy, we
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show that the capacity of the network strongly depends on the cycle
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times of the traffic lights. Moreover, we point out that the optimal
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time periods are determined by the geometric characteristics of the
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network, i.e., the distance between the intersections. In the case
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of synchronized traffic lights, the derivation of the optimal cycle
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times in the network can be reduced to a simpler problem, the flow
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optimization of a single street with one traffic light operating
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as a bottleneck. In order to obtain an enhanced throughput in the
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model, improved global strategies are tested, e.g., green wave and
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random switching strategies, which lead to surprising results.},
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doi = {10.1103/PhysRevE.64.056132},
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groups = {TLS, TS, assigned2groups},
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keywords = {DLR/TS/VM},
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owner = {dkrajzew},
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timestamp = {2011.09.30},
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url = {http://elib.dlr.de/6570/}
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}
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142
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@inproceedings{Bauza2008,
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author = {Bauza, R. and Gozalvez, J. and Sepulcre, M.},
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booktitle = {Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th},
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title = {Operation and Performance of Vehicular Ad-Hoc Routing Protocols in Realistic Environments},
147
year = {2008},
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month = {sept.},
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pages = {1 -5},
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doi = {10.1109/VETECF.2008.450},
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groups = {used, iTETRIS, routing protocols, UMH, assigned2groups},
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issn = {1090-3038},
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keywords = {information dissemination;multihop communications;vehicle-to-infrastructure wireless communications;vehicle-to-vehicle communications;vehicular ad-hoc routing protocols;ad hoc networks;mobile radio;routing protocols;, V2X, UMH, sumo},
154
owner = {dkrajzew},
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timestamp = {2011.09.19}
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}
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158
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@inproceedings{Behrisch2011,
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author = {Michael Behrisch and Laura Bieker and Jakob Erdmann and Daniel Krajzewicz},
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booktitle = {SIMUL 2011, The Third International Conference on Advances in System Simulation},
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title = {SUMO - Simulation of Urban MObility: An Overview},
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year = {2011},
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address = {Barcelona, Spain},
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editor = {SINTEF \& University of Oslo Aida Omerovic and RTI International - Research Triangle Park Diglio A. Simoni and RTI International - Research Triangle Park Georgiy Bobashev},
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month = {October},
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pages = {63-68},
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publisher = {ThinkMind},
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abstract = {SUMO is an open source traffic simulation package including net import
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and demand modeling components. We describe the current state of
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the package as well as future developments and extensions. SUMO helps
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to investigate several research topics e.g. route choice and traffic
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light algorithm or simulating vehicular communication. Therefore
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the framework is used in different projects to simulate automatic
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driving or traffic management strategies.},
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groups = {presentation, simulation packages, TS, assigned2groups},
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journal = {Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation},
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keywords = {microscopic traffic simulation, software, open source},
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owner = {Daniel},
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timestamp = {2011.12.02},
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url = {http://elib.dlr.de/71460/}
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}
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@inproceedings{Behrisch2008,
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author = {Michael Behrisch and Michael Bonert and Elmar Brockfeld and Daniel Krajzewicz and Peter Wagner},
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booktitle = {Third International Symposium of Transport Simulation 2008 (ISTS08)},
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title = {Event traffic forecast for metropolitan areas based on microscopic simulation},
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year = {2008},
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month = {Januar},
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abstract = {It is shown that a traditional travel demand forecast combined with
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a simulationbased approach can serve as a short-term forecast for
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the traffic situation. The approach presented was developed and tested
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during the Soccer World Cup 2006 in the city of Cologne as a service
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for the action forces to react as fast as possible to developing
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aberrations. This paper discusses the merits and the short-comings
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of the approach.},
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file = {:http\://elib.dlr.de/55176/1/eventtrafficSubmitted.pdf:URL},
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groups = {used, Soccer2006, generation, event traffic, mesoscopic, forecast, TS, assigned2groups},
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keywords = {traffic simulation, event traffic, urban traffic},
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owner = {Daniel},
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timestamp = {2011.12.02},
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url = {http://elib.dlr.de/55176/}
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}
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@inproceedings{Behrisch2009a,
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author = {Michael Behrisch and Michael Bonert and Daniel Hinkeldein and Daniel Krajzewicz and G\"unter Kuhns and Yun-Pang Wang},
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booktitle = {ITS World Congress 2009},
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title = {DELPHI - a joint web decision support application for real time traffic situation analysis and prognosis, information exchange and cooperation},
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year = {2009},
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abstract = {This paper describes DELPHI, a pilot version of a joint web decision
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support application for real time traffic situation and prognosis,
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information exchange and cooperation between the Traffic Management
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Center, Emergency Rescue Services, the Police and the Emergency Call
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Center. In two demonstration regions in Germany, Cologne and Munich
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the R&D project started in 2007. The main purpose is to handle major
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incidents that affect the transportation situation in conurbation
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areas. The web application is intended to help task force members
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at different stakeholders to obtain a common and joint overview.
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DELPHI also allows to coordinate tactical measures among the task
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forces.},
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groups = {used, DELPHI, surveillance, airborne, cameras, forecast, TS, assigned2groups},
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keywords = {decision support, TMC, Traffic Management Center, incident management, ITS, Intelligent Transportation System},
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owner = {Daniel},
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timestamp = {2011.12.02},
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url = {http://elib.dlr.de/62187/}
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}
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@inproceedings{Behrisch2010a,
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author = {Michael Behrisch and Jakob Erdmann and Daniel Krajzewicz},
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booktitle = {MESM 2010},
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title = {Adding intermodality to the microscopic simulation package SUMO},
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year = {2010},
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month = {Dezember},
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abstract = {It is shown how the traffc simulation SUMO which traditionally focused
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on individual road traffc could be extended to serve the purpose
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of a general traffic simulation (including transport of individual
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persons) while retaining most of in- and output formats and the performance
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of the original system.},
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file = {:http\://elib.dlr.de/65964/1/intermodalSumo.pdf:URL},
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groups = {presentation, inter-modality, TS, assigned2groups},
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keywords = {Traffic, Microsimulation, Intermodal, SUMO},
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owner = {Daniel},
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timestamp = {2011.12.02},
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url = {http://elib.dlr.de/65964/}
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}
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@unpublished{dlr76186,
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author = {Michael Behrisch and Yun-Pang Fl\"otter\"od and Daniel Krajzewicz and Peter Wagner},
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note = {Der Eintrag wurde auf der DTA 2012 vorgestellt.},
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title = {Ecological User Equilibrium in Traffic Management (TM)?},
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month = {Februar},
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year = {2012},
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abstract = {With increasing environmental sustainability awareness significant
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attention on ecological traffic management (eco-TM) has come into
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the focus of researchers and practitioners. While different approaches
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have been applied to reach minimal pollutant production, the classic
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user equilibrium calculation with the pollutant production as travel
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costs instead of using travel times remains in the center of attention.
263
However, the validity of such a direct transformation to find a user
264
equilibrium is questionable. In this paper, a simplified analytical
265
approach to examine the above aforementioned validity has been carried
266
out, followed by a simulation approach to verify the results of the
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analytical approach. The result shows that the pollutant production
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function violates the usual assumption of a monotonous function (typically,
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emission has a minimum at travel speeds around 60 km/h). It also
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indicates that the respective algorithms to compute the user equilibrium
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must deal with the fact, that the equilibrium solution is not unique
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and is dependent on the initial solution. This means that substantial
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modifications to the algorithms that compute the user equilibrium
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have to be discussed since they do not work as intended when pollutant
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production is used as travel costs, especially in a transportation
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system with mixed speeds that cover a range around the minimum emission
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speed.},
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groups = {pollution},
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institution = {Institut f\"ur Verkehrssystemtechnik},
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keywords = {ecological traffic management, traffic simulation, user equilibrium},
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owner = {dkrajzew},
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timestamp = {2012.09.18},
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url = {http://elib.dlr.de/76186/}
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}
285
286
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@inproceedings{dlr71870,
288
author = {Michael Behrisch and Yun-Pang Fl\"otter\"od and Daniel Krajzewicz and Peter Wagner},
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booktitle = {DTA 2012},
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title = {Ecological User Equilibrium?},
291
year = {2011},
292
month = {November},
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abstract = {With increasing environmental sustainability awareness significant
294
attention on ecological traffic management (eco-TM) has come into
295
the focus of researchers and practitioners. While different approaches
296
have been applied to reach minimal pollutant production, the classic
297
user equilibrium calculation with the pollutant production as travel
298
costs instead of using travel times remains in the center of attention.
299
However, the validity of such a direct transformation to find a user
300
equilibrium is questionable. In this paper, a simplified analytical
301
approach to examine the above aforementioned validity has been carried
302
out, followed by a simulation approach to verify the results of the
303
analytical approach. The initial result shows that the pollutant
304
production function violates the usual assumption of a monotonous
305
function (typically, emission has a minimum at travel speeds around
306
\unit[60]{km/h} ). This means that substantial modifications to the
307
algorithms that compute the user equilibrium have to be discussed
308
since they do not work as intended when pollutant production is used
309
as travel costs, especially in a transportation system with mixed
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speeds that cover a range around the minimum emission speed.},
311
groups = {pollution},
312
keywords = {eco traffic management, dynamic traffic assignment, user equilibrium},
313
owner = {dkrajzew},
314
timestamp = {2012.09.18},
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url = {http://elib.dlr.de/71870/}
316
}
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318
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@inproceedings{Behrisch2010,
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author = {Michael Behrisch and Marc Hohloch and Marek Junghans and G\"unter Kuhns and Daniel Krajzewicz and Yun-Pang Wang},
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booktitle = {2010 POLIS CONFERENCE - 'Innovation in transport for sustainable cities and regions'},
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title = {Traffic Management Decision Support based on on-line Data},
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year = {2010},
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month = {November},
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abstract = {Natural disasters, industrial accidents, technological disasters as
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well as terrorist attacks have raised a great attention to road traffic
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management in emergencies and disasters worldwide. The road system
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is the essential infrastructure for mobility and accessibility. It
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is important in daily life and especially in disasters and emergencies.
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Therefore, a successful road traffic management in such situations
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should minimize losses in life and goods as well as economical losses
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and assets through incident prevention, mitigation, preparedness,
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response and recovery.
334
335
Based on this concern, the German Aerospace Center has been continuously
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undertaking the development of a real-time web-based decision support
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system within four R&D projects, WJT2005, Soccer2006, DELPHI and
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VABENE, since 2005. A pilot version of the new portal has already
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been established in the demonstration region Munich in 2007.
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This system mainly aims to - establish a shared online traffic information
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platform and decision-making support tool for the law enforcement
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and emergency services - use available traffic information as best
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as possible for online traffic monitoring and evaluation, and - provide
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accurate traffic forecasting for supporting the decision-making in
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traffic management.},
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groups = {used, GF4BOS, simulation packages, surveillance, airborne, cameras, forecast, TS, assigned2groups},
348
keywords = {online traffic management, decision support system},
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owner = {Daniel},
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timestamp = {2011.12.02},
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url = {http://elib.dlr.de/65965/}
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}
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354
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@inproceedings{Behrisch2009,
356
author = {Michael Behrisch and Daniel Krajzewicz and Ronald Nippold and Yun-Pang Wang},
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booktitle = {2nd NEARCTIS workshop 2009},
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title = {Simulation of Urban MObility},
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year = {2009},
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groups = {presentation, simulation packages, TS, assigned2groups},
361
keywords = {traffic simulation},
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owner = {Daniel},
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timestamp = {2011.12.02},
364
url = {http://elib.dlr.de/62188/}
365
}
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367
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@incollection{dlr81244,
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author = {Michael Behrisch and Daniel Krajzewicz and Peter Wagner and Yun-Pang Wang},
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publisher = {Edward Elgar Publishing Limited},
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title = {Comparing Performance and Quality of Traffic Assignments for Microscopic Simulation},
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year = {2010},
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editor = {Chris M.J. Tampere and Francesco Viti and Lambertus H. (Ben) Immers},
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pages = {361--386},
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groups = {pollution},
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journal = {New Developments in Transport Planning - Advances in Dynamic Traffic Assignment},
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keywords = {dynamic traffic assignment, traffic simulation},
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owner = {dkrajzew},
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timestamp = {2014.01.08},
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url = {http://elib.dlr.de/81244/}
381
}
382
383
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@inproceedings{Behrisch2008b,
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author = {Michael Behrisch and Daniel Krajzewicz and Peter Wagner and Yun-Pang Wang},
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booktitle = {DTA2008 International Symposium on Dynamic Traffic Assignment},
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title = {Comparison of Methods for Increasing the Performance of a DUA Computation},
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year = {2008},
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month = {Mai},
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abstract = {Computing realistic routes for a given road network and a known demand
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of vehicles is one of the most important steps when preparing a road
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traffic simulation. The approach developed by Christian Gawron in
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1998 which we use for this purpose computes a dynamic user equilibrium
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by iteratively performing the simulation and computing new vehicle
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routes. The results are valid, but the computation is very time consuming
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due to the need to perform both the complete simulation and rerouting
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of all vehicles within each iteration step. Herein, we want to discuss
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some approaches to reduce the needed time and memory consumption.
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The results show that this can be achieved without reducing the algorithm?s
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quality.},
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groups = {used, assignment, TS, assigned2groups},
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journal = {Proceedings of DTA2008},
403
keywords = {microscopic simulation, traffic assignment, SUE, DUA},
404
owner = {Daniel},
405
timestamp = {2011.12.02},
406
url = {http://elib.dlr.de/55173/}
407
}
408
409
410
@inproceedings{Behrisch2008a,
411
author = {Michael Behrisch and Daniel Krajzewicz and Yun-Pang Wang},
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booktitle = {DTA2008 International Symposium on Dynamic Traffic Assignment},
413
title = {Comparing performance and quality of traffic assignment techniques for microscopic road traffic simulations},
414
year = {2008},
415
month = {Mai},
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abstract = {Focusing on the tradeoff between accuracy of the assignment and computation
417
time this paper proposes different traffic assignment methods targeting
418
at microscopic traffic simulation. The corresponding network-wide
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performance indices, the generated route sets and the respective
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significance tests are analyzed and compared. The results indicate
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that the saving on computa-tion time is significant with use of macroscopic
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assignments. However, the deficiency of ne-glecting turning behaviors
423
in macroscopic assignments results in worse assignment results. Moreover,
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the used computation time of some microscopic methods (e.g. the one-shot
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method) is competitive with that of the macroscopic assignments.
426
While the exact parameteri-zation as well as the sensitivity of the
427
methods to the size of the scenarios still need further investigation,
428
it seems favorable to employ microscopic assignment techniques or
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hybrid methods for producing a good traffic assignment for a microscopic
430
simulation.},
431
groups = {used, assignment, TS, assigned2groups},
432
journal = {Proceedings of DTA2008},
433
keywords = {microscopic simulation, traffic assignment, SUE, DUA, route set similarity},
434
owner = {Daniel},
435
timestamp = {2011.12.02},
436
url = {http://elib.dlr.de/55172/}
437
}
438
439
440
@inproceedings{Bieker2011a,
441
author = {Laura Bieker},
442
booktitle = {Young Researchers Seminar},
443
title = {Emergency Vehicle Prioritization using Vehicle-To-Vehicle Communication},
444
year = {2011},
445
month = {Juni},
446
abstract = {Emergency vehicles need to reach their destination as fast as possible.
447
They deserve the highest priority at intersections. Therefore, they
448
are allowed to use bus lanes and pass red lights at traffic light
449
systems. Nevertheless, for emergency vehicles it is still quicker
450
and safer to get priority at the approaching intersection. This paper
451
analyses how the travel time of emergency vehicles can be improved
452
by using vehicle-to-infrastructure (V2I) communication. Emergency
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vehicles are sending messages with their route information and their
454
current position. The traffic lights which have to be passed can
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switch to green for emergency vehicles and to red for all other streets.
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The traffic lights continue the normal operation after the emergency
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vehicle has passed the intersection. Simulation results show that
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emergency vehicles can reach their destination faster.},
459
groups = {used, iTETRIS, emergency, TLS, TS, assigned2groups},
460
keywords = {V2I communication, Emergency vehicle, traffic management, traffic simulation},
461
owner = {Daniel},
462
timestamp = {2011.12.02},
463
url = {http://elib.dlr.de/70219/}
464
}
465
466
467
@inproceedings{Bieker2011,
468
author = {Laura Bieker and Daniel Krajzewicz},
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booktitle = {First Forum on Integrated and Sustainable Transportation Systems (FISTS)},
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title = {Evaluation of opening Bus Lanes for private Traffic triggered via V2X Communication},
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year = {2011},
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month = {Juni},
473
abstract = {Within the EC project ?iTETRIS?, an architecture for simulating traffic
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management applications based on vehicular communications (V2X) was
475
designed and implemented. The work was based on evaluating the needs
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of a real city ? the city of Bologna. Applications which try to solve
477
the detected problems were defined and evaluated in subsequent steps.
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This report describes the evaluation of one of the developed applications,
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namely ?Bus Lane Management?. It was analyzed whether it is possible
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to detect the traffic demand via V2X communication and open bus lanes
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for private vehicles. It turned out that this could be done efficiently:
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dedicating the free space on the bus lanes improves the average travel
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times and route lengths of all vehicles. However, this is true only
484
if the penetration rates stay well below 50%. If more vehicles try
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to benefit, the situation deteriorates readily.},
486
groups = {used, iTETRIS, public transport, surveillance, TS, assigned2groups},
487
keywords = {traffc simulation, bus lane management, V2V communication},
488
owner = {Daniel},
489
timestamp = {2011.12.02},
490
url = {http://elib.dlr.de/70220/}
491
}
492
493
494
@inproceedings{Bieker2010,
495
author = {Laura Bieker and Daniel Krajzewicz and Matthias R\"ockl and Hans Capelle},
496
booktitle = {Intelligent Transport Systems Telecommunications (ITST2010)},
497
title = {Derivation of a fast, approximating 802.11p simulation model},
498
year = {2010},
499
month = {November},
500
abstract = {This paper gives an overview of the development of a fast, approximating
501
model of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2X)
502
communication. Large-scale traffic simulations need to be fast, and
503
the lack of supporting this feature by common communication simulators
504
makes the development of a new one necessary. In a vehicular system,
505
packet error rate can be significant; hence models that consider
506
error characteristics are desirable. Our work considers communication
507
models that approximate the radio propagation characteristics in
508
a realistic way without compromising simulation speed.},
509
groups = {used, Pre-Drive C2X, communication models, own (DLR), TS, IMEC, assigned2groups},
510
keywords = {V2X communication, Traffic simulation, Radio Propagation, Packet Error Rate},
511
owner = {Daniel},
512
timestamp = {2011.12.02},
513
url = {http://elib.dlr.de/66094/}
514
}
515
516
517
@inproceedings{Blokpoel2010,
518
author = {Robbin Blokpoel and Daniel Krajzewicz and Ronald Nippold},
519
booktitle = {13th International IEEE Conference on Intelligent Transportation Systems (ITSC)},
520
title = {Unambiguous metrics for evaluation of traffic networks},
521
year = {2010},
522
month = {September},
523
abstract = {This paper presents an extensive set of unambiguous metrics that can
524
be used for evaluation of new ITS applications. Currently in the
525
literature most authors define their own metrics and small differences
526
in definitions can lead to confusion when comparing the results.
527
To derive the set of metrics presented in this paper, several steps
528
have been taken. First, a list has been made with all metrics known
529
by the research partners. Afterwards, a set of base measures has
530
been defined. Using that set, clear formulas for all metrics have
531
been derived and are reported in this paper. Finally, an application
532
example about a cooperative traffic light controller is given.},
533
groups = {iTETRIS, metrics, pollution, TS, Peek Traffic, assigned2groups},
534
keywords = {simulation, performance indicators, performance metrics, traffic science, traffic management},
535
owner = {Daniel},
536
timestamp = {2011.12.02},
537
url = {http://elib.dlr.de/67734/}
538
}
539
540
541
@inproceedings{Bonert2006,
542
author = {Michael Bonert and Elmar Brockfeld and Ines Ernst and Daniel Krajzewicz and Martin Ruh\'e and Peter Wagner},
543
booktitle = {IMA 2006 Informationssysteme f\"ur mobile Anwendungen},
544
title = {SOCCER Verkehrslageerfassung und ?prognose w\"ahrend der Fu\ssball-WM},
545
year = {2006},
546
month = {Oktober},
547
abstract = {W?hrend der FIFA?Fu?ballweltmeisterschaft 2006 wurde im Rahmen des
548
vom BMWi ge-f?rderten Projektes SOCCER an drei Spielst?tten (Berlin,
549
K?ln, Stuttgart) ein integriertes Sys-tem getestet, das Verkehrsdaten
550
aus unterschiedlichen Quellen zu einer Verkehrslageerfas-sung und
551
anschlie?ender Prognose fusionieren konnte. Die beiden Systeme in
552
Berlin und K?ln setzten dabei jeweils auf eine Simulation der gesamten
553
Stadt auf, w?hrend das Stuttgar-ter System im Wesentlichen auf einer
554
ganglinienbasierten Prognose basierte. Die verwendeten Inputdaten
555
waren in allen F?llen eine Kombination aus (nicht in allen St?dten
556
gleich) luft-gest?tzter Verkehrslageerfassung an ausgesuchten Brennpunkten
557
(Zeppelin in K?ln, Flugzeug in Berlin und Hubschrauber in Stuttgart),
558
vorhandenen Z?hlschleifendaten (alle Orte) und den Reisezeitinformationen
559
aus den Taxi?FCD Projekten Stuttgart und Berlin des DLR (siehe www.cityrouter.com).
560
Dieser Beitrag beschreibt den Aufbau der Systeme und stellt erste
561
Er-gebnisse dar, mit denen die Prognoseg?te beurteilt werden kann.},
562
groups = {used, Soccer2006, surveillance, airborne, cameras, forecast, assigned2groups},
563
keywords = {Verkehrsmanagement von Gro?ereignissen, Verkehrssimulation, luftgest?tzte Verkehrslageerfassung},
564
owner = {Daniel},
565
timestamp = {2011.12.02},
566
url = {http://elib.dlr.de/50197/}
567
}
568
569
570
@article{Brockfeld2003a,
571
author = {Elmar Brockfeld and Reinhart K\"uhne and Alexander Skabardonis and Peter Wagner},
572
journal = {Transportation Research Records},
573
title = {Towards a benchmarking of Microscopic Traffic Flow Models},
574
year = {2003},
575
number = {TRB2003-001164},
576
pages = {124--129},
577
volume = {1852},
578
abstract = {Several microscopic traffic models have been tested with a publicly
579
available data set. The task was to predict the travel times between
580
sever observers along a one-lane rural road, given as boundary conditions
581
the flow into this road and the flow out of it. By using nonlinear
582
optimization, for each of the models the best matching set of parameters
583
have been estimated. For this particular data set, the models that
584
performed best are the ones with the smalles number of parameters.
585
The average error rate of the models is about 16 %, however, this
586
value is not very reliable: the error rate fluctuates between 2.5
587
and 25 % for different parts of the data set.},
588
booktitle = {82nd Annual Meeting Transportation Research Board},
589
editor = {Transportation Research Board},
590
groups = {calibration&validation, TS, assigned2groups},
591
keywords = {calibration, validation, simulation, models, microscopic flow models, DLR/TS/VM, model calibration},
592
owner = {dkrajzew},
593
timestamp = {2011.09.30},
594
url = {http://elib.dlr.de/6646/}
595
}
596
597
598
@article{Brockfeld2005a,
599
author = {Elmar Brockfeld and Reinhart K\"uhne and Peter Wagner},
600
journal = {Transportation Research Records},
601
title = {Calibration and Validation of Microscopic Traffic Flow Models},
602
year = {2005},
603
month = {Januar},
604
pages = {179--187},
605
volume = {1934},
606
abstract = {Since microscopic models are being heavily used in applications, the
607
appropriate calibration and validation have been a recent concern.
608
The contribution of this paper is to compare some of these models
609
by calibrating and validating them with data from double-loop detectors
610
on a multilane freeway. To simplify this task, the test of the models
611
is done by simplifying the multilane reality to a simulation of only
612
single lane. The results show that by simulating the multilane road
613
with single lane models, calibration errors (Theil?s U, root mean
614
squared error) of 14 % to 16 % can be obtained. A validation of the
615
models ?which means taking calibrated parameters of one data set
616
to reproduce the other data sets? gives additional errors of about
617
0.5 to 2.5 percentage points. This is in good agreement with other
618
calibration/validation approaches performed recently.},
619
booktitle = {Transportation Research Board 2005},
620
editor = {Transportation Research Board},
621
groups = {calibration&validation, TS, assigned2groups},
622
keywords = {microscopic traffic flow models, calibration/validation, freeway data, DLR/TS/VM, model calibration},
623
owner = {dkrajzew},
624
timestamp = {2011.09.30},
625
url = {http://elib.dlr.de/20987/}
626
}
627
628
629
@inproceedings{Brockfeld2004c,
630
author = {Elmar Brockfeld and Reinhart K\"uhne and Peter Wagner},
631
booktitle = {TRB Annual Meeting},
632
title = {Calibration and Validation of Microscopic Traffic Flow Models},
633
year = {2004},
634
editor = {Transportation Research Board},
635
number = {TRB2004-001743},
636
pages = {62--70},
637
volume = {1876},
638
abstract = {Microscopic simulation models are becoming increasingly important
639
tools in modeling transport systems. There are a large number of
640
available models used in many countries. the most difficult stage
641
in the development and use of such models is the calibration and
642
validation of the microscopic sub-models describing the traffic flow,
643
such as the car following, lane changing and gap acceptance models.
644
This difficulty is due to the lack of suitable methods for adapting
645
models to empirical data. The aim of this paper is to present recent
646
progress in calibratin a number of microscopic traffic flow models.
647
By calibrating and validating various models using the same data
648
sets, the models are directly comparable to each other. This sets
649
the basis for a transparent benchmarking of those models. Furthermore,
650
the advantages and disadvantages of each model can be analyzed better
651
to develop a more realistic behavior of the simulated vehicles In
652
this work various microscopic traffic flow models have been tested
653
from a very microscopic point of view concerning the car-follwing
654
behavior and gap-acceptance. The data used for calibration and validation
655
is from car-following experiments performed in Japan in October 2001.
656
The data have been collected by letting nine DGPS-equipped cars follow
657
a lead car driving along a 3 km test track for about 15-30 minutes.
658
So one gets the positions and speeds of each car in time intervals
659
of 0.1 seconds. The experiment was repeated eight times letting the
660
leading driver perform various driving in waves and emulating many
661
acceleations/decelerations as they are typical at intersections.
662
To minimize driver-dependent correlations between the data sets,
663
the drivers were exchanged between the cars regularly after each
664
experiment},
665
groups = {calibration&validation, TS, assigned2groups},
666
journal = {TRB 2004 Annual Meeting},
667
keywords = {calibration, validation, traffic flow models, microscopic, GPS, DGPS, DLR/TS/VM, model calibration},
668
owner = {dkrajzew},
669
timestamp = {2011.09.30},
670
url = {http://elib.dlr.de/6652/}
671
}
672
673
674
@inproceedings{Brockfeld2002a,
675
author = {Elmar Brockfeld and Reinhart K\"uhne and Peter Wagner},
676
booktitle = {Networks for Mobility, International Symposium},
677
title = {Towards Benchmarking Microscopic Traffic Flow Models},
678
year = {2002},
679
note = {LIDO-Berichtsjahr=2003,},
680
pages = {321--331},
681
volume = {I},
682
groups = {calibration&validation, TS, assigned2groups},
683
journal = {Proceedings of Networks for Mobility},
684
keywords = {microscopic simulation, benchmarking, traffic flow models, DLR/TS/VM, model calibration},
685
owner = {dkrajzew},
686
timestamp = {2011.09.30},
687
url = {http://elib.dlr.de/6506/}
688
}
689
690
691
@inproceedings{Brockfeld2004b,
692
author = {Elmar Brockfeld and Rene Kelpin and Peter Wagner},
693
booktitle = {2nd International Symposium "Networks for Mobility"},
694
title = {Performance of car following behaviour in microscopic traffic flow models},
695
year = {2004},
696
editor = {W. M\"ohlenbrink and F.C. Englmann and M. Friedrich and U. Martin and U. Hangleiter},
697
pages = {43--43},
698
publisher = {Universit\"at Stuttgart},
699
abstract = {Microscopic simulation models are becoming increasingly important
700
tools in modelling transport systems. They are applied in simulation
701
programs for transport planning, traffic forecasting and advanced
702
vehicle control and safety systems (AVCSS). An important part of
703
the models are the microscopic sub-models which describe the interaction
704
between adjacent vehicles. For that purpose rules and equations are
705
defined describing the car-following and lane changing behaviour
706
of the vehicles. An essential problem is the calibration and validation
707
of the parameters used in these rules. In this paper ten microscopic
708
traffic flow models of very different kind are analysed concerning
709
the correct reproduction of the car-following behaviour on single
710
lane roads. The models are calibrated and validated with data collected
711
via DGPS-equipped cars (Differential Global Positioning System) on
712
a test track in Japan. The positions of the cars are delivered every
713
0.1 second with very high accuracy, which is perfect for analysing
714
the car following behaviour. To calibrate the models, in each case
715
one driver pair is under consideration. The measured data of a leading
716
car are fed into the model under consideration and the model is used
717
to compute the behaviour of a following car. In the analysis the
718
resulting simulated time series of headways are carried out and the
719
deviations to the measured headways are calculated to calibrate the
720
models. To find the optimal parameters an automated optimisation
721
technique is used which tries to minimise the deviations. For validation
722
purposes the resulting optimal parameter sets for single data sets
723
are taken to reproduce some other data sets by simulation. At first,
724
this is done in a driver independent way, where the drivers in the
725
data set used for the calibration are different from those used for
726
the validation. Secondly, to investigate whether individual driver
727
behaviour can be reproduced better a driver-special validation is
728
conducted, where the calibrated parameter sets obtained for each
729
driver are taken to validate the behaviour of the same driver in
730
other situations. Main results of the analyses are that all models
731
produce nearly the same errors, thus sophisticated models with up
732
to 15 parameters seem not to be better than simple models with only
733
4 or 6 parameters. In total it is found that the differences in the
734
driver behaviour are much bigger than the diversity of the models.
735
At last, the validation with special driver pairs produces slightly
736
better results than the driver-independent validation. Thus, the
737
behaviour of individual drivers can be reproduced a bit more accurately
738
than trying to transfer optimal parameter results from one driver
739
to another.},
740
groups = {calibration&validation, TS, assigned2groups},
741
journal = {Networks for Mobility 2004, Proceedings - Abstracts and CD-ROM},
742
keywords = {simulation,model,microscopic models,calibration,validation,GPS,DGPS,car following, DLR/TS/VM},
743
owner = {dkrajzew},
744
timestamp = {2011.09.30},
745
url = {http://elib.dlr.de/21349/}
746
}
747
748
749
@inproceedings{Brockfeld2005,
750
author = {Elmar Brockfeld and Stefan Lorkowski},
751
booktitle = {ISTTT 16},
752
title = {Calibration of car-following models using Kalman filters},
753
year = {2005},
754
abstract = {Calibration and validation, especially of microscopic traffic flow
755
models is a challenging task. Currently, ther is a renewed interest
756
in results of those efforts [1, 2] as well as in developing the right
757
tools to actually perform the calibration. The approach developed
758
in [1] will be refined, extended and compared to an approach based
759
on the recent development of a so called unscented Kalman filter
760
[3]. These methods will be used to calibrate a couple of microscopic
761
traffic flow models to two sets of freeway data, one US-American
762
(the I-880 FSP-dataset) and an European dataset, data from the German
763
freeway A100.},
764
groups = {calibration&validation, TS, assigned2groups},
765
keywords = {calibration, validation, Kalman filter, , DLR/TS/VM, model calibration},
766
owner = {dkrajzew},
767
timestamp = {2011.09.30},
768
url = {http://elib.dlr.de/22391/}
769
}
770
771
772
@inproceedings{Brockfeld2003,
773
author = {Elmar Brockfeld and Peter Wagner},
774
booktitle = {Traffic and Granular Flow '03},
775
title = {Calibration and Validation of Microscopic Traffic Flow Models},
776
year = {2003},
777
editor = {P. H. L. Bovy and S. P. Hoogendoorn and M. Schreckenberg and D. E. Wolf},
778
publisher = {Springer},
779
abstract = {Microscopic simulation models are becoming increasingly important
780
tools in modeling transport systems. There are a large number of
781
available models used in many countries. The most difficult stage
782
in the development and use of such models is the calibration and
783
validation of the microscopic sub-models describing the traffic flow,
784
such as the car following, lane changing and gap acceptance models.
785
This difficulty is due to the lack of suitable methods for adapting
786
models to empirical data. The aim of this paper is to present recent
787
progress in calibrating a number of microscopic traffic flow models.
788
By calibrating and validating various models using the same data
789
sets, the models are directly comparable to each other. This sets
790
the basis for a transparent benchmarking of those models. Furthermore,
791
the advantages and disadvantages of each model can be analyzed better
792
to develop a more realistic behavior of the simulated vehicles.
793
794
795
In this work various microscopic traffic flow models have been tested
796
from a very microscopic point of view concerning the car-following
797
behavior and gap-acceptance. The data used for calibration and validation
798
is from car-following experiments performed in Japan in October 2001.
799
The data have been collected by letting nine DGPS-equipped cars follow
800
a lead car driving along a 3 km test track for about 15-30 minutes.
801
So one gets the positions and speeds of each car in time intervals
802
of 0.1 seconds. The experiment was repeated eight times letting the
803
leading driver perform various driving patterns as there are constant
804
speeds of 20, 40, 60 and 80 km/h for some time, driving in waves
805
and emulating many accelerations/decelerations as they are typical
806
at intersections. To minimize driver-dependent correlations between
807
the data sets, the drivers were exchanged between the cars regularly
808
after each experiment.
809
810
811
In this paper we present analyses concerning four of the experiments,
812
namely the patterns mostly with intervals of constant speeds and
813
wave-performing. For each of the four experiments one gets the ten
814
trajectories of the cars in form of the DGPS-positions and speeds.
815
From these the accelerations and distances/gaps between the cars
816
have been calculated, which are used then for the simulation runs.<br/>
817
818
The study was done analyzing the time-development of the gaps between
819
the cars. For the simulation setup only two cars are considered at
820
a time. The leading car is updated as the speeds in the recorded
821
data sets tell and the following car is updated as defined by the
822
equations and rules of the used model, respectively. The absolute
823
error a model produces is calculated via the simple quadratic distance
824
between the recorded gaps and the simulated gaps. To get a percentage
825
error it is additionally related to the mean average gap in each
826
data set. Altogether 36 vehicle pairs (4 experiments * 9 vehicle
827
pairs) were used as data sets for the analyses.
828
829
830
Each model has been calibrated with each of the 36 different constellations
831
separately gaining optimal parameter sets for each ?model - data
832
set? combination. To find the optimal parameter constellations a
833
gradient-free optimization method was used and started several times
834
with different initialization values for each ?model - data set?
835
pair. The variation in initialization is done to avoid sticking with
836
a local minimum, which of course can occur because getting a global
837
minimum can not be guaranteed by those type of optimization algorithms.
838
Subsequently, the validation was performed by determining the error
839
of a given model on all the data sets which have not been used to
840
calibrate the model.
841
842
843
By now, ten microscopic models of a very different kind using 3 to
844
14 parameters have been tested. The most basic parameters used by
845
the models are the car length, a maximum velocity, an acceleration
846
and mostly a deceleration rate. The acceleration and deceleration
847
rates are specified in more detail in some models depending on the
848
recent speed or traffic states (indicated by density for example).
849
Furthermore, some models use a parameter for random braking or another
850
kind of stochastic parameter describing individual driver behavior.
851
Finally, few models use much more parameters to describe the driver?s
852
behavior, which will be briefly described in the final paper. As
853
the time step for the models is 0.1 seconds according to the recorded
854
data, some models with a traditional time step of 1 second ? as for
855
example used for simple cellular automatons - have been modified
856
to adopt for an arbitrarily small time-step. So far the models tested
857
are as follows (more will be added): - CA (cellular automaton model
858
by K. Nagel, M. Schreckenberg), - SK-model (model by S. Krauss),
859
- OVM (?Optimal Velocity Model?, Bando, Hasebe), - IDM (?Intelligent
860
Driver Model?, Helbing), - IDMM (?Intelligent Driver Model with Memory?,
861
Helbing, Treiber), - CATauT (CA model with more variable acceleration
862
and deceleration, own development), - GIPPSLIKE (basic model by P.G.
863
Gipps), - Aerde (model used in the simulation package INTEGRATION),
864
- FRITZSCHE (model used in the british software PARAMICS; it is similar
865
to what is used in the german software VISSIM by PTV), - MitSim (model
866
by Yang, Koutsopulus, used in the software MitSim).
867
868
869
The error rates of the models in comparison to the data sets during
870
the calibration for each model reach from 9 to 24 %. But no model
871
appears to be significantly the best one since every model has the
872
same problems with distinct data sets and other data sets can be
873
simulated quite good with each model. Interestingly, it can be stated
874
that models with more parameters than others do not necessarily reproduce
875
the real data better. The results of the validation process draw
876
a similar picture. The produced errors in these cases are about 12
877
to 30 %, sometimes up to 40 or 60%, which is of course much bigger
878
than in the simple calibration cases. All in all the results after
879
the calibration agree with some results that have been obtained before.
880
But the results of the validation are in parts very bad which probably
881
calls for the development of much better models. The other way to
882
interpret the results is that ? from this microscopic point of view
883
? errors of about 12-30 % can probably not be suppressed no matter
884
what a model is used. This would be due to the different behavior
885
of each driver.},
886
groups = {calibration&validation, TS, assigned2groups},
887
journal = {Traffic and Granular Flow '03},
888
keywords = {calibration, validation, models, traffic flow models, microscopic, DLR/TS/VM, model calibration},
889
owner = {dkrajzew},
890
timestamp = {2011.09.30},
891
url = {http://elib.dlr.de/6653/}
892
}
893
894
895
@inproceedings{Brockfeld2004,
896
author = {Elmar Brockfeld and Peter Wagner},
897
booktitle = {WCTR04 - 10th World Conference on Transport Research},
898
title = {Testing and Benchmarking of Microscopic Traffic Flow Models},
899
year = {2004},
900
number = {A-D},
901
pages = {775--776},
902
volume = {abstract book I},
903
abstract = {Microscopic simulation models are becoming increasingly important
904
tools in modelling transport systems. There are large number of available
905
models used in many countries. The important difficult stage in the
906
development and use of such models is the calibration and validation
907
of the microscopic sub-models describing the traffic flow, such as
908
the car following models for example. The aim of this paper is to
909
present recent progress in calibrating more than a dozen microscopic
910
traffic flow models with very different data sets conducted by DGPS-equipped
911
cars (Differential Global Positioning System), loop detectors and
912
human observers. Different approaches to measure the errors the models
913
produce in comparison to reality are compared. It can be stated that
914
from a microscopic point of view errors of about 15-20 % in headway-
915
and travel time-estimation and about 2-7 % in speed-estimation of
916
individual vehicles in the car following process seem to be the minimal
917
reachable level. Furthermore, the larger the simulation horizon is,
918
the smaller the diversity of the analyzed models become in comparison
919
to the diversity in the driver behaviour. Most interesting, no model
920
cold be denoted to be the best and especially highly sophisticated
921
models did not produce better results than very simple ones.},
922
groups = {calibration&validation, TS, assigned2groups},
923
journal = {Proceedings of the 10th World Conference on Transport Research},
924
keywords = {traffic flow modeling, benchmarking, simulation, GPS, DLR/TS/VM, model calibration},
925
owner = {dkrajzew},
926
timestamp = {2011.09.30},
927
url = {http://elib.dlr.de/6709/}
928
}
929
930
931
@unpublished{Brockfeld2004a,
932
author = {Elmar Brockfeld and Peter Wagner},
933
title = {Kalibrierung und Validierung von mikroskopischen Verkehrsflussmodellen},
934
year = {2004},
935
abstract = {Mikroskopische Verkehrsmodelle entwickeln sich zu immer wichtigeren
936
Hilfsmitteln bei der Modellierung von Transportsystemen. Sie helfen
937
bei der Infrastrukturplanung und beim Design von kleinr?umigen Bereichen
938
wie etwa Ampelkreuzungen bis hin zu gro?en Verkehrsnetzen. Auch im
939
Bereich der Verkehrsprognose, speziell der Kurzfristprognose und
940
bei der Entwicklung von Fahrerassistenzsystemen werde sie immer h?ufiger
941
eingesetzt. Von diesen Modellen gibt es eine sehr gro?e Anzahl, die
942
in vielen verschiedenen L?ndern eingesetzt werden. Oft ist jedoch
943
nicht hinreichend klar, welches Modell welche Verkehrsph?nomene und
944
Fahrerverhalten wie genau abbildet. Der schwierigste Schritt bei
945
der Entwicklung und Nutzung solcher Modelle ist der Abgleich der
946
mikroskopischen Teilmodelle, die den Verkehrsfluss beschreiben, mit
947
realen Daten - also die Kalibrierung und Validierung. Diese Teilmodelle
948
sind z. B. Fahrzeugfolgemodelle, Spurwechselmodelle und Abstands-Akzeptanz-Modelle.
949
Die Schwierigkeit der Kalibrierung liegt vor allem darin, dass derzeit
950
noch keine Methoden etabliert sind, wie die Modell mikroskopisch
951
mit realen Daten verglichen werden sollten. Im Vortrag werden methoden
952
hierf?r vorgeschlagen und aktuelle Forschungsergebnisse bzgl. des
953
Vergleichs verschiedener Verkehrsflussmodelle anhand realer Daten
954
vorgestellt. Die Modell wurden alle mit denselben ?ffentlich zug?nglichen
955
Datens?tzen kalibriert und validiert, wodurch vor allem Vergleichbarkeit
956
und Transparenz der ERgebnisse hergestellt wird. Ein wesentliches
957
Ergebnis ist bisher, dass komplexere Modelle nicht notwendigerweise
958
besser sein m?ssen als sehr einfach strukturierte. Ferner geben die
959
Ergebnisse Hinweise auf eine bisher unzureichende Abbildung des Fahrerverhaltens
960
in den Modellen.},
961
booktitle = {Braunschweiger Verkehrskolloquium des Zentrumf f\"ur Verkehr (ZVB)},
962
groups = {calibration&validation, TS, assigned2groups},
963
keywords = {Kalibrierung, Validierung, Fahrzeugdaten, Modelle, Simulation, DLR/TS/VM, model calibration},
964
owner = {dkrajzew},
965
timestamp = {2011.09.30},
966
url = {http://elib.dlr.de/6706/}
967
}
968
969
970
@inproceedings{Brockfeld2002,
971
author = {Elmar Brockfeld and Peter Wagner},
972
booktitle = {Computional Physics Conference},
973
title = {Testing traffic flow models},
974
year = {2002},
975
note = {LIDO-Berichtsjahr=2003,},
976
groups = {calibration&validation, TS, assigned2groups},
977
journal = {Proceedings of the Computional Physics Conference},
978
keywords = {DLR/TS/VM, model calibration},
979
owner = {dkrajzew},
980
timestamp = {2011.09.30},
981
url = {http://elib.dlr.de/6505/}
982
}
983
984
985
@article{Chao-Qun2008,
986
author = {Mei Chao-Qun and Huang Hai-Jun and Tang Tie-Qiao},
987
journal = {Intelligent Computation Technology and Automation, International Conference on},
988
title = {Improving Urban Traffic by Velocity Guidance},
989
year = {2008},
990
pages = {383-387},
991
volume = {2},
992
address = {Los Alamitos, CA, USA},
993
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICTA.2008.288},
994
groups = {GLOSA, assigned2groups, dkrajzew:6},
995
isbn = {978-0-7695-3357-5},
996
owner = {dkrajzew},
997
publisher = {IEEE Computer Society},
998
timestamp = {2012.01.26}
999
}
1000
1001
1002
@article{Chowdhury2000,
1003
author = {Debashish Chowdhury and Ludger Santen and Andreas Schadschneider},
1004
title = {Statistical physics of vehicular traffic and some related systems},
1005
journal = {Physics Reports},
1006
year = {2000},
1007
volume = {329},
1008
pages = {199 - 329},
1009
number = {4-6},
1010
doi = {10.1016/S0370-1573(99)00117-9},
1011
issn = {0370-1573},
1012
keywords = {Cellular automata, Models},
1013
owner = {dkrajzew},
1014
timestamp = {2011.09.19},
1015
url = {http://arxiv.org/abs/cond-mat/0007053}
1016
}
1017
1018
1019
@inproceedings{Cottingham2005,
1020
author = {David N. Cottingham AND Jonathan J. Davies AND Alastair R. Beresford},
1021
title = {{Congestion-Aware Vehicular Traffic Routing Using WiFi Hotspots}},
1022
booktitle = {{Communications Innovation Institute Workshop}},
1023
year = {2005},
1024
month = {apr},
1025
organization = {Cambridge-MIT Institute},
1026
note = {Conference Paper},
1027
keywords = {V2X, Assignment, University of Cambridge},
1028
owner = {Jonathan Davies (jjd27)},
1029
timestamp = {2011.09.19},
1030
url = {http://www.cl.cam.ac.uk/research/dtg/www/files/publications/public/jjd27/ciiHandout.pdf}
1031
}
1032
1033
1034
@misc{Duering2011,
1035
author = {Michael D�ring},
1036
month = {07},
1037
title = {Simulative Untersuchung und Bewertung Vehicle-to-Infrastructure basierter Anfahrstrategien an Lichtsignalanlagen},
1038
year = {2011},
1039
abstract = {Das Institut f�r Verkehrssystemtechnik im Deutschen Zentrum f�r Luft-
1040
und Raumfahrt e.V.
1041
1042
(DLR) besch�ftigt sich, unter anderem, mit der Entwicklung und Evaluation
1043
von Fahrerassistenzsystemen.
1044
1045
In diesem Zusammenhang ist das DLR Mitglied im Car-2-Car Communication
1046
1047
Consortium, welches eine f�hrende Rolle bei der Erarbeitung von Standards
1048
(IEEE
1049
1050
802.11p) f�r die drahtlose �bertragung von Informationen zwischen
1051
Fahrzeugen sowie
1052
1053
Fahrzeugen und kooperativer Verkehrsinfrastruktur definiert. Erste
1054
Demonstrationen zeigen
1055
1056
den sinnvollen Einsatz dieser Technologie f�r k�nftige Fahrerassistenzsysteme.
1057
Das
1058
1059
Ziel dieser Systeme ist es die Sicherheit und die Effizienz im Stra�enverkehr
1060
weiter zu
1061
1062
erh�hen.
1063
1064
1065
Im Entwicklungsprozess von Assistenz- und Automationssystemen werden
1066
verschiedene
1067
1068
Schritte, beginnend bei Simulationsstudien zur Absch�tzung der Auswirkungen
1069
eines neuartigen
1070
1071
Systems im Verkehr bis hin zur Evaluation von Prototypen in Feldversuchen,
1072
1073
durchlaufen. In der vorliegenden Arbeit wird das Anfahrverhalten von
1074
50 Fahrzeugen simuliert,
1075
1076
die sich in einem R�ckstau vor einer Lichtsignalanlage (LSA) befinden.
1077
Der Aufbau
1078
1079
der Simulation besteht aus einer LSA gesteuerten Kreuzung, deren einzige
1080
Fahrtrichtung
1081
1082
jeweils die Geradeausfahrt ist. Als Simulationsumgebung wird SUMO
1083
verwendet.
1084
1085
1086
Das Ziel der Arbeit ist die Untersuchung und Auswertung von drei unterschiedlichen
1087
Anfahrszenarien.
1088
1089
Zum einen wird das derzeitige Anfahrverhalten abgebildet. Zum anderen
1090
1091
werden zwei Fahrerassistenzsysteme betrachtet. Ein Assistenzsystem
1092
unterst�tzt den
1093
1094
Fahrer, indem ihm die Restzeit der Rotphase angezeigt wird bzw. indem
1095
der Assistent den
1096
1097
Fahrer beim Beschleunigungsvorgang unterst�tzt. Der andere Assistent
1098
�bernimmt vollautomatisch
1099
1100
die L�ngsf�hrung der Fahrzeuge. F�r die beiden Assistenten wird die
1101
Vehicleto-
1102
1103
X Technologie mit einer Durchdringungsrate von 100% vorausgesetzt.
1104
1105
1106
Es wird gezeigt, dass durch die Variation der Anfahrstrategie sowohl
1107
eine Verringerung
1108
1109
der Aufenthaltsdauer des letzten Fahrzeugs in der Simulation (im Folgenden
1110
Simulationszeit)
1111
1112
von 25% bis 85% als auch die Reduzierung der Anzahl der Gr�nphasen
1113
der LSA zum
1114
1115
R�umen der Kreuzung von 14 auf 4 m�glich ist. Die Einsparungsm�glichkeiten
1116
hinsichtlich
1117
1118
des Kraftstoffverbrauchs liegen zwischen 21% und 94%. Weiterhin wurden
1119
mit der Gr�nphasendauer
1120
1121
und dem Beschleunigungswert zwei Parameter identifiziert, die bedeutenden
1122
1123
Einfluss auf den Ablauf der Simulation und das Potential zur Reduzierung
1124
der Simulationszeit
1125
1126
und des Kraftstoffverbrauchs bzw. der Emission haben.},
1127
file = {pdf:http\://elib.dlr.de/70524/1/Studienarbeit_Michael_D%C3%BCring_110726.pdf:URL},
1128
groups = {used, TLS, ADAS, TS, TU BS, assigned2groups},
1129
keywords = {Lichtsignalanlagen, Anfahren, V2X, TLS, DLR/TS/VM},
1130
owner = {dkrajzew},
1131
timestamp = {2011.11.23},
1132
url = {http://elib.dlr.de/70524/}
1133
}
1134
1135
1136
@inproceedings{Figueiredo2001,
1137
author = {Figueiredo, L. and Jesus, I. and Machado, J.A.T. and Ferreira, J.R. and Martins de Carvalho, J.L.},
1138
booktitle = {Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE},
1139
title = {Towards the development of intelligent transportation systems},
1140
year = {2001},
1141
pages = {1206 -1211},
1142
abstract = {This paper presents a review of the state of the art on intelligent
1143
transportation systems. ITS involves a large number of research areas
1144
and, therefore, this paper focus on those we believe to be the most
1145
relevant. The main purpose is to study the achievements attained
1146
in the last years and to give an overview of possible directions
1147
towards future research},
1148
doi = {10.1109/ITSC.2001.948835},
1149
groups = {V2X, ITS, assigned2groups, dkrajzew:6},
1150
keywords = {intelligent transportation system development;automated highways;reviews;},
1151
owner = {dkrajzew},
1152
timestamp = {2012.01.26}
1153
}
1154
1155
1156
@inproceedings{dlr65966,
1157
author = {Gunnar Fl{\"o}tter{\"o}d and Yun-Pang Fl{\"o}tter{\"o}d},
1158
booktitle = {Transportation Research Board 92nd Annaul Meeting},
1159
title = {A method to resolve non-unique flows in deterministic macroscopic intersection models},
1160
year = {2013},
1161
abstract = {The modeling of complex urban road intersections with deterministic
1162
macroscopic models of traffic flow is known to suffer from non-unique
1163
solutions. This article proposes a new method to deal with this problem.},
1164
groups = {pollution},
1165
keywords = {deterministic macroscopic traffic model, traffic simulation},
1166
owner = {dkrajzew},
1167
timestamp = {2014.01.08},
1168
url = {http://elib.dlr.de/65966/}
1169
}
1170
1171
1172
@inproceedings{dlr62189,
1173
author = {Gunnar Fl{\"o}tter{\"o}d and Daniel Krajzewicz and Yun-Pang Wang and Michael Behrisch and Peter Wagner},
1174
booktitle = {2nd NEARCTIS workshop 2009},
1175
title = {Disaggregate route choice estimation for the SUMO traffic microsimulator with the Cadyts calibration tool for improved traffic management},
1176
year = {2009},
1177
file = {poster:http\://elib.dlr.de/62189/1/Nearctis_RouteChoiceEstimation_poster.pdf:URL},
1178
groups = {pollution},
1179
keywords = {route choice},
1180
owner = {dkrajzew},
1181
timestamp = {2014.01.08},
1182
url = {http://elib.dlr.de/62189/}
1183
}
1184
1185
1186
@inproceedings{dlr72232,
1187
author = {Gunnar Fl{\"o}tter{\"o}d and Peter Wagner and Yun-Pang Wang},
1188
booktitle = {Traffic And Granular Flow},
1189
title = {Identifiability and practical relevance of complex car-following models},
1190
year = {2011},
1191
month = {September},
1192
abstract = {This article looks at car-following models with a deliberately pragmatic
1193
perspective: What information about driver behavior can be extracted
1194
from a given data set without more or less speculative assumptions
1195
about underlying behavioral laws. The objective of this exercise
1196
is not to invalidate existing models but to obtain a better understanding
1197
of how much (complex) model structure can be revealed/validated from
1198
real data.},
1199
groups = {pollution},
1200
keywords = {car following models, ARIMA, calibration},
1201
owner = {dkrajzew},
1202
timestamp = {2014.01.08},
1203
url = {http://elib.dlr.de/72232/}
1204
}
1205
1206
1207
@inproceedings{dlr71871,
1208
author = {Yun-Pang Fl{\"o}tter{\"o}d and Laura Bieker},
1209
booktitle = {ICEM 2012},
1210
title = {Demand-oriented traffic management for incidents and disasters},
1211
year = {2012},
1212
abstract = {Traffic simulation has been extensively used as a decision support
1213
tool for efficient traffic management in daily life. During disasters
1214
and incidents, traffic simulation can further help rescue teams to
1215
understand the current traffic state and the possible impacts of
1216
proposed strategies and then to make proper decisions. At this point,
1217
the changes in traffic demand should also be considered in the simulation
1218
to reflect the latest traffic state. In this paper, a demand-oriented
1219
traffic management system for disasters and incidents with a web-based
1220
portal is introduced. In this system, not only the real-time data
1221
from loop and wireless detectors but also traffic simulation are
1222
used for reconstructing and predicting the traffic state. Furthermore,
1223
four traffic demand categories for disasters and incidents are proposed
1224
in the system. Some respective demand characteristics are collected
1225
according to historical cases, such as departure pattern and people?s
1226
perception about evacuation. Such characteristics will be used in
1227
the system, since they have a great influence on the simulated traffic
1228
state and the effectiveness of applied strategies. Finally, the approach
1229
how to generate the respective special demands for disasters and
1230
incidents with consideration of the normal traffic demand is proposed
1231
as well.},
1232
groups = {pollution},
1233
keywords = {traffic management; disaster; SUMO;VABENE; traffic simulation},
1234
owner = {dkrajzew},
1235
timestamp = {2014.01.08},
1236
url = {http://elib.dlr.de/71871/}
1237
}
1238
1239
1240
@inproceedings{dlr80610,
1241
author = {Yun-Pang Fl{\"o}tter{\"o}d and Peter Wagner and Michael Behrisch and Daniel Krajzewicz},
1242
booktitle = {2012 Winter Simulation Conference},
1243
title = {Simulated-based Validity Analysis of Ecological User Equilibrium},
1244
year = {2012},
1245
month = {Dezember},
1246
abstract = {Microscopic traffic simulation models are applied in the analysis
1247
of transportation systems for years. Nevertheless, calibration (and
1248
validation) of microscopic sub-models such as car-following and gap-acceptance
1249
models is still a recent matter. The objective of the calibration
1250
is to adapt the simulation output to empirical data by adjusting
1251
the model's parameters. However, simulation results may vary from
1252
the underlying real-world data, despite the calibration. To analyze
1253
these deviations the present paper compares two different approaches
1254
of calibration using data from a single-lane car-following experiment
1255
on a Japanese test track. It is demonstrated that the results of
1256
the two methods differ significantly. A recommendation for the more
1257
appropriate method to use is given.},
1258
groups = {pollution},
1259
journal = {Winter Simulation Conference Archive},
1260
keywords = {traffic simulation, user equilibrium, ecology},
1261
owner = {dkrajzew},
1262
timestamp = {2014.01.08},
1263
url = {http://elib.dlr.de/80610/}
1264
}
1265
1266
1267
@techreport{Furian2013,
1268
author = {Furian, Nikolaus and Hausberger, Stefan and Krajzewicz, Daniel},
1269
institution = {COLOMBO consortium},
1270
title = {Extended Simulation Tool PHEM coupled to SUMO with User Guide (Draft)},
1271
year = {2013},
1272
month = {October},
1273
type = {Deliverable to the European Commission},
1274
groups = {iTETRIS},
1275
owner = {dkrajzew},
1276
timestamp = {2014.01.08}
1277
}
1278
1279
1280
@phdthesis{Gawron1999,
1281
author = {Gawron, Christian},
1282
school = {Universit\"{a}t zu K\"{o}ln},
1283
title = {Simulation-Based Traffic Assignment -- Computing User Equilibria in Large Street Networks},
1284
year = {1999},
1285
citeulike-article-id = {8937803},
1286
file = {:https\://sumo.dlr.de/pdf/GawronDiss.pdf:URL},
1287
groups = {assignment, Universit\\\\\\\\\\\\\\\\"at zu K\\\\\\\\\\\\\\\\"oln, assigned2groups},
1288
institution = {Informatik, Universit\"{a}t zu K\"{o}ln},
1289
keywords = {equilibrium, learning, simulation, sumo, Assignment, ZAIK},
1290
number = {366},
1291
owner = {dkrajzew},
1292
pages = {113},
1293
posted-at = {2011-03-04 07:57:16},
1294
priority = {2},
1295
timestamp = {2011.09.19}
1296
}
1297
1298
1299
@inproceedings{GOZALVEZ2009,
1300
author = {Javier GOZALVEZ and Siebe TURKSMA and Lan LIN and Oscar LAZARO and Fabio CARTOLANO and Eric ROBERT and Daniel KRAJZEWICZ and Ramon BAUZA and Fethi FILALI and Matthias R\"OCKL and Jeremie LEGUAY and Carlo MICHELACCI and Jaap VREESWIJK and Julen MANEROS and Ainara GONZALEZ and Massimiliano LENARDI},
1301
booktitle = {ICT-MobileSummit 2009},
1302
title = {iTETRIS: the Framework for Large-Scale Research on the Impact of Cooperative Wireless Vehicular Communications Systems in Traffic Efficiency},
1303
year = {2009},
1304
abstract = {Cooperative vehicular ICT systems have been identified as an attractive
1305
technology to improve traffic management and safety, while providing
1306
Internet on the move. To achieve these objectives, cooperative vehicular
1307
communication systems allow the dynamic exchange of messages between
1308
vehicles, and between vehicles and infrastructure. To ensure the
1309
efficiency of cooperative vehicular ICT systems, it is crucial that
1310
the communication protocols are adequately designed and optimised,
1311
and that the applications using such communication capabilities are
1312
tested under realistic conditions. In this context, this paper presents
1313
the EU-funded iTETRIS platform that is being created to allow for
1314
a realistic and accurate evaluation of the design and impact of cooperative
1315
vehicular communication systems and traffic management policies under
1316
realistic large-scale scenarios.},
1317
groups = {mentioned, iTETRIS, ns-3, TS, Peek Traffic, EURECOM, HITACHI, Thales, UMH, Innovalia Association, CBT, COBO, assigned2groups},
1318
keywords = {Cooperative vehicular ICT, wireless communications, heterogeneous systems, simulation platform, traffic management.},
1319
owner = {Daniel},
1320
timestamp = {2011.12.02},
1321
url = {http://elib.dlr.de/62037/}
1322
}
1323
1324
1325
@inproceedings{Greenwood:2009:GDT:1558109.1558322,
1326
author = {Dominic Greenwood and Branislav Burdiliak and Ivan Trencansky and
1327
Hartmut Armbruster and Christian Dannegger},
1328
title = {GreenWave distributed traffic intersection control},
1329
booktitle = {Proceedings of The 8th International Conference on Autonomous Agents
1330
and Multiagent Systems - Volume 2},
1331
year = {2009},
1332
series = {AAMAS '09},
1333
pages = {1413--1414},
1334
address = {Richland, SC},
1335
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
1336
acmid = {1558322},
1337
isbn = {978-0-9817381-7-8},
1338
keywords = {distributed multiagent traffic intersection phase control, emergent
1339
green wave, video camera sensor},
1340
location = {Budapest, Hungary},
1341
numpages = {2},
1342
url = {http://dl.acm.org/citation.cfm?id=1558109.1558322}
1343
}
1344
1345
1346
@inproceedings{Harri2011,
1347
author = {J\'er\^ome H\"arri and Pasquale Cataldi and Daniel Krajzewicz and Robbin J. Blokpoel and Yoann Lopez and Jeremie Leguay},
1348
booktitle = {MSWiM'11, 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems},
1349
title = {Modeling and Simulating ITS Applications with iTETRIS},
1350
year = {2011},
1351
month = {Oktober},
1352
abstract = {his work presents the modeling methodology of the iTETRIS platform
1353
to integrate and simulate ITS applications. iTETRIS is a modular
1354
and open-source simulation platform composed of four key modules:
1355
the network simulator ns-3, the traffic simulator SUMO, an ITS (Intelligent
1356
Transportation System) application simulator, and a central federating
1357
module called iCS. Our contribution is twofold: First, we propose
1358
a methodology to model and simulate ITS applications with iTETRIS
1359
around three main mechanisms: (i) message management with generic
1360
open APIs based on subscription/result container mechanisms (ii)
1361
data management with the integration of an application facilities
1362
layer in the iCS, including a local dynamic map (LDM), (iii) application
1363
management with an ITS application simulator including one or more
1364
application logics. Second, we apply this methodology to implement
1365
the following four ITS applications: dynamic route planning, bus
1366
lane management, emergency vehicle, and contextual speed adaptation.
1367
We describe their integrations in iTETRIS, including a characterization
1368
of their interactions with the iCS, and illustrate the benefits of
1369
these ITS applications on traffic efficiency, gasoline consumption,
1370
or air pollutant emissions.},
1371
groups = {mentioned, iTETRIS, communication models, ns-3, TS, Peek Traffic, EURECOM, Thales, assigned2groups},
1372
keywords = {Intelligent Transportation Systems (ITS), Simulation Platform, ITS Application, iTETRIS, Performance Evaluation},
1373
owner = {Daniel},
1374
timestamp = {2011.12.02},
1375
url = {http://elib.dlr.de/70969/}
1376
}
1377
1378
1379
@inproceedings{Hopfner2007,
1380
author = {Marcus H\"opfner and Ingmar Ehrenpfordt and Eric Nicolay and Benjamin Maier and Elmar Brockfeld and Daniel Krajzewicz},
1381
booktitle = {CeBIT in Motion - Forum for Telematics and Navigation},
1382
title = {Simulation und Feldtest f\"ur die Validation mobilfunkbasierter Verkehrsdaten},
1383
year = {2007},
1384
editor = {Deutsche Messe AG},
1385
month = {M\"arz},
1386
abstract = {Im Rahmen des vom BMBF gef?rderten Forschungsprojektes ?TrafficOnline
1387
? Online Verkehrsdatenerfassung ?ber Mobilfunknetze? wird ein Verfahren
1388
zur Erfassung von Verkehrsdaten entwickelt, welches auf der Beobachtung
1389
von im Stra?enverkehr mitgef?hrten Mobiltelefonen basiert. Hierbei
1390
wird insbesondere der im Verkehrsnetz zur?ckgelegte Weg mobiler Telefonate,
1391
welche den Bereich mehrerer Mobilfunkzellen passieren, in anonymer
1392
Art und Weise ausgewertet und daraus eine durchschnittliche Reisegeschwindigkeit
1393
ermittelt. Das Institut f?r Verkehrsf?hrung und Fahrzeugsteuerung
1394
hat eine Testmethodik aufgebaut, auf deren Basis die ?berpr?fung
1395
der Einsatzgrenzen und Qualit?t des TrafficOnline-Verfahrens erfolgt.
1396
F?r die Validation des Verfahrens fand im Gro?raum Berlin ein Feldtest
1397
statt. Hierf?r wurden im GSM-Netz spezielle Erfassungsrechner installiert,
1398
welche f?r einen l?ngeren Zeitraum s?mtliche an der Abis-Schnittstelle
1399
auflaufenden Mobilfunkdaten aufzeichneten. Das Testgebiet erstreckte
1400
sich dabei ?ber den s?dwestlichen Teil Berlins, ausgehend vom Zentrum
1401
bis zum Autobahnring BAB A10. Damit umfasste es neben den ?bergeordneten
1402
Bundesfernstra?en auch Teile des nachgeordneten Stra?ennetzes im
1403
Zentrum Berlins. Im Rahmen der Auswertung des Feldtestes erfolgt
1404
ein Abgleich der mittels des TrafficOnline-Verfahrens generierten
1405
Verkehrsdaten mit lokalen Verkehrsdetektoren. Als Referenzdaten werden
1406
dabei unter anderem die Induktionsschleifen und Passivinfrarotdetektoren
1407
der Verkehrsmanagementzentrale Berlin verwendet. Neben diesem Feldtest
1408
kommt als zweiter Teil der Validation eine Simulation zum Einsatz.
1409
Als Simulationstool wurde das Programm "Simulation of Urban MObility"
1410
(SUMO) gew?hlt. Es handelt sich dabei um eine mikroskopische Verkehrssimulation,
1411
welche vom Zentrum f?r Angewandte Informatik K?ln und dem Institut
1412
f?r Verkehrsforschung Berlin entwickelt wurde. Mit diesem Simulationstool
1413
wird vor allem die ?bertragbarkeit des TrafficOnline-Verfahrens auf
1414
verschiedenste r?umliche Gegebenheiten und unterschiedliche Mobilfunknetze
1415
gepr?ft wird. Um diese Pr?fung durchf?hren zu k?nnen, wurde das Tool
1416
SUMO an die speziellen Anforderungen angepasst und um notwendige
1417
Funktionalit?ten erg?nzt.},
1418
groups = {used, presentation, TrafficOnline, surveillance, mobile phones, TS, assigned2groups},
1419
journal = {CeBIT in Motion - Forum for Telematics and Navigation},
1420
keywords = {Verkehrsdatenerfassung, Floating Phone Data, Verkehrssimulation},
1421
owner = {Daniel},
1422
timestamp = {2011.12.02},
1423
url = {http://elib.dlr.de/48868/}
1424
}
1425
1426
1427
@mastersthesis{Heppner2010,
1428
author = {Matthias Heppner},
1429
title = {Einf�hrung von Unit Tests in das bestehende C++ Softwaresystem SUMO},
1430
school = {Humboldt-Universit�t zu Berlin},
1431
year = {2010},
1432
month = {January},
1433
owner = {behr_mi},
1434
timestamp = {2011.12.05},
1435
url = {http://www2.informatik.hu-berlin.de/swt/dipl/MatthiasHeppner.2010.pdf}
1436
}
1437
1438
1439
@article{joerer2012towards,
1440
author = {Joerer, Stefan and Sommer, Christoph and Dressler, Falko},
1441
title = {{Towards Reproducibility and Comparability of IVC Simulation Studies
1442
- A Literature Survey}},
1443
journal = {IEEE Communications Magazine},
1444
year = {2012},
1445
note = {to appear},
1446
publisher = {IEEE}
1447
}
1448
1449
1450
@unpublished{Kuhne2006,
1451
author = {Reinhart K\"uhne and Marius Schlingelhof and Daniel Krajzewicz},
1452
note = {Probably duplicate},
1453
title = {NEW GLOBAL NAVIGATION SATELLITE SYSTEM BASED APPROACHES FOR ADVANCED DRIVER ASSISTANCE},
1454
month = {Januar},
1455
year = {2006},
1456
booktitle = {TRB 2006 (85. Annual Meeting)},
1457
groups = {surveillance, DLR, assigned2groups},
1458
keywords = {Navigation, Satellite System, Driver Assistance},
1459
owner = {Daniel},
1460
timestamp = {2011.12.02},
1461
url = {http://elib.dlr.de/44423/}
1462
}
1463
1464
1465
@inproceedings{Karnadi2007,
1466
author = {Karnadi, F.K. and Zhi Hai Mo and Kun-chan Lan},
1467
booktitle = {Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE},
1468
title = {Rapid Generation of Realistic Mobility Models for VANET},
1469
year = {2007},
1470
month = {march},
1471
pages = {2506 -2511},
1472
abstract = {One emerging, new type of ad-hoc network is the vehicular ad-hoc network
1473
(VANET), in which vehicles constitute the mobile nodes in the network.
1474
Due to the prohibitive cost of deploying and implementing such a
1475
system in real world, most research in VANET relies on simulations
1476
for evaluation. A key component for VANET simulations is a realistic
1477
vehicular mobility model that ensures conclusions drawn from simulation
1478
experiments will carry through to real deployments. In this work,
1479
we introduce a tool MOVE that allows users to rapidly generate realistic
1480
mobility models for VANET simulations. MOVE is built on top of an
1481
open source micro-traffic simulator SUMO. The output of MOVE is a
1482
realistic mobility model and can be immediately used by popular network
1483
simulators such as ns-2 and qualnet. We evaluate and compare ad-hoc
1484
routing performance for vehicular nodes using MOVE to that using
1485
the random waypoint model. We show that the simulation results obtained
1486
when nodes moving according to a realistic mobility model is significantly
1487
different from that of the commonly used random waypoint model.},
1488
doi = {10.1109/WCNC.2007.467},
1489
groups = {used, presentation, MOVE, ns-2, road networks, University of New South Wales, National ICT Australia Ltd, assigned2groups},
1490
issn = {1525-3511},
1491
keywords = {MOVE tool;SUMO;VANET simulations;ad-hoc routing performance;mobile nodes;network simulators;open source microtraffic simulator;random waypoint model;realistic vehicular mobility model;vehicular ad-hoc network;vehicular nodes;ad hoc networks;public domain software;telecommunication network routing;traffic engineering computing;, V2X, New South Wales University},
1492
owner = {dkrajzew},
1493
timestamp = {2011.09.19}
1494
}
1495
1496
1497
@inproceedings{Katsaros2011b,
1498
author = {Katsaros, Konstantinos and Dianati, Mehrdad and Tafazolli, Rahim and Kernchen, Ralf},
1499
booktitle = {2011 IEEE Vehicular Networking Conference (VNC) (VNC 2011)},
1500
title = {{CLWPR - A Novel Cross-Layer Optimized Position Based Routing Protocol for VANETs}},
1501
year = {2011},
1502
pages = {200--207},
1503
abstract = {In this paper, we propose a novel position-based routing protocol
1504
designed to anticipate the characteristics of an urban VANET environment.
1505
The proposed algorithm utilizes the prediction of the node's position
1506
and navigation information to improve the efficiency of routing protocol
1507
in a vehicular network. In addition, we use the information about
1508
link layer quality in terms of SNIR and MAC frame error rate to further
1509
improve the efficiency of the proposed routing protocol. This in
1510
particular helps to decrease end-to-end delay. Finally, carry-n-forward
1511
mechanism is employed as a repair strategy in sparse networks. It
1512
is shown that use of this technique increases packet delivery ratio,
1513
but increases end-to-end delay as well and is not recommended for
1514
QoS constraint services. Our results suggest that compared with GPSR,
1515
our proposal demonstrates better performance in the urban environment.},
1516
file = {:http\://info.ee.surrey.ac.uk/Personal/K.Katsaros/papers/KK_CLWPR_VNC_11.pdf:URL},
1517
groups = {routing protocols, University of Surrey, assigned2groups, documentAssigned, [dkrajzew:]},
1518
keywords = {vehicular ad-hoc networks, position based routing, cross-layer.},
1519
owner = {dkrajzew},
1520
timestamp = {2012.01.25}
1521
}
1522
1523
1524
@inproceedings{Katsaros2011a,
1525
author = {Katsaros, Konstantinos and Kernchen, Ralf and Dianati, Mehrdad and Rieck, David},
1526
booktitle = {International Wireless Communications and Mobile Computing Conference (IWCMC)},
1527
title = {{Performance study of a Green Light Optimized Speed Advisory ( GLOSA ) Application Using an Integrated Cooperative ITS Simulation Platform}},
1528
year = {2011},
1529
pages = {918--923},
1530
abstract = {This paper proposes a Green Light Optimized Speed Advisory (GLOSA)
1531
application implementation in a typical reference area, and presents
1532
the results of its performance analysis using an integrated cooperative
1533
ITS simulation platform. Our interest was to monitor the impacts
1534
of GLOSA on fuel and traffic efficiency by introducing metrics for
1535
average fuel consumption and average stop time behind a traffic light,
1536
respectively. For gathering the results we implemented a traffic
1537
scenario defining a single route through an urban area including
1538
two traffic lights. The simulations are varied for different penetration
1539
rates of GLOSA-equipped vehicles and traffic density. Our results
1540
indicate that GLOSA systems could improve fuel consumption and reduce
1541
traffic congestion in junctions.},
1542
doi = {10.1109/IWCMC.2011.5982524},
1543
file = {:http\://info.ee.surrey.ac.uk/Personal/K.Katsaros/papers/KK_GLOSA_IWCMC_11.pdf:URL},
1544
groups = {used, GLOSA, VSimRTI, JiST/SWANS, FOKUS, University of Surrey, assigned2groups, documentAssigned, [dkrajzew:]},
1545
keywords = {GLOSA,fuel consumption,traffic congestion,traffic light advisory,vehicular communications},
1546
mendeley-tags = {GLOSA},
1547
owner = {dkrajzew},
1548
timestamp = {2012.01.25}
1549
}
1550
1551
1552
@article{Katsaros2011,
1553
author = {Katsaros, Konstantinos and Kernchen, Ralf and Dianati, Mehrdad and Rieck, David and Zinoviou, Charalambos},
1554
journal = {Wireless Communications and Mobile Computing},
1555
title = {{Application of Vehicular Communications for Improving the Efficiency of Traffic in Urban Areas}},
1556
year = {2011},
1557
number = {12},
1558
pages = {1657--1667},
1559
volume = {11},
1560
abstract = {This paper studies the impacts of vehicular communications on efficiency
1561
of traffic in urban areas. We consider a Green Light Optimized Speed
1562
Advisory (GLOSA) application implementation in a typical reference
1563
area, and present the results of its performance analysis using an
1564
integrated cooperative ITS simulation platform. In addition, we study
1565
route alternation using Vehicle to Infrastructure (V2I) and Vehicle
1566
to Vehicle (V2V) communications. Our interest was to monitor the
1567
impacts of these applications on fuel and traffic efficiency by introducing
1568
metrics for average fuel consumption, average stop time behind a
1569
traffic light and average trip time, respectively. For gathering
1570
the results we implemented two traffic scenarios defining routes
1571
through an urban area including traffic lights. The simulations are
1572
varied for different penetration rates of application-equipped vehicles,
1573
drivers compliance to the advised speed and traffic density. Our
1574
results indicate that GLOSA systems could improve fuel consumption,
1575
reduce traffic congestion in junctions and the total trip time.},
1576
doi = {10.1002/wcm.1233},
1577
file = {:http\://info.ee.surrey.ac.uk/Personal/K.Katsaros/papers/KK_GLOSA_SI_WCMC_11.pdf:URL},
1578
groups = {used, navigation, GLOSA, VSimRTI, JiST/SWANS, University of Surrey, assigned2groups, documentAssigned, [dkrajzew:]},
1579
keywords = {fuel consumption,traffic congestion,traffic light advisory,vehicular communications, alternative route},
1580
owner = {dkrajzew},
1581
timestamp = {2012.01.25}
1582
}
1583
1584
1585
@inproceedings{Kerekes2009,
1586
author = {{Kerekes}, J.~P. and {Presnar}, M.~D. and {Fourspring}, K.~D. and {Ninkov}, Z. and {Pogorzala}, D.~R. and {Raisanen}, A.~D. and {Rice}, A.~C. and {Vasquez}, J.~R. and {Patel}, J.~P. and {MacIntyre}, R.~T. and {Brown}, S.~D.},
1587
booktitle = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
1588
title = {{Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing}},
1589
year = {2009},
1590
month = {may},
1591
series = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
1592
volume = {7334},
1593
adsnote = {Provided by the SAO/NASA Astrophysics Data System},
1594
adsurl = {http://adsabs.harvard.edu/abs/2009SPIE.7334E..17K},
1595
doi = {10.1117/12.819265},
1596
groups = {used, surveillance, cameras, FOKUS, Rochester Institute of Technology, Air Force Institute of Technology, Numerica Corp., assigned2groups},
1597
keywords = {surveillance, Numerica Corporation, Air Force Institute of Technology, Rochester Institute of Technology},
1598
owner = {dkrajzew},
1599
timestamp = {2011.09.19}
1600
}
1601
1602
1603
@inbook{Krajzewicz2010b,
1604
author = {Daniel Krajzewicz},
1605
editor = {Jaume Barcel\'o},
1606
pages = {269--294},
1607
publisher = {Springer},
1608
title = {Traffic Simulation with SUMO - Simulation of Urban Mobility},
1609
year = {2010},
1610
month = {October},
1611
series = {International Series in Operations Research and Management Science},
1612
groups = {presentation, car-following, lane changing, pollution, simulation packages, TS, assigned2groups},
1613
journal = {Fundamentals of Traffic Simulation},
1614
keywords = {traffic simulation, sumo},
1615
owner = {Daniel},
1616
timestamp = {2011.12.02},
1617
url = {http://elib.dlr.de/66135/}
1618
}
1619
1620
1621
@misc{Krajzewicz2009a,
1622
author = {Daniel Krajzewicz},
1623
title = {Kombination von taktischen und strategischen Einfl\"ussen in einer mikroskopischen Verkehrsflusssimulation},
1624
year = {2009},
1625
abstract = {Eine mikroskopische Verkehrsflusssimulation gro?er Areale kann nur
1626
realit?tsnah durchge-f?hrt werden, wenn der Algorithmus zur Spurwahl
1627
sowohl taktische als auch strategische Ent-scheidungen des Fahrers
1628
umsetzt. Innerhalb dieser Arbeit wird das aktuell (Stand Juni 2008)
1629
in der freien, mikroskopischen Verkehrsflusssimulation ?SUMO? implementierte
1630
Modell vorgestellt und besprochen, welches beide Ebenen vereint.},
1631
editor = {Thomas J\"urgensohn and Harald Kolrep},
1632
groups = {presentation, lane changing, TS, assigned2groups},
1633
journal = {Fahrermodellierung in Wissenschaft und Wirtschaft, 2. Berliner Fachtagung f\"ur Fahrermodellierung},
1634
keywords = {mikroskopische Verkehrsflusssimulation, Spurwechsel},
1635
number = {28},
1636
owner = {Daniel},
1637
pages = {104--115},
1638
publisher = {VDI-Verlag},
1639
series = {Verein Deutscher Ingenieure [Fortschritt-Berichte VDI / 22]: Fortschritt-Berichte / VDI ; Nr. 28 : Reihe 22, Mensch-Maschine-Systeme},
1640
timestamp = {2011.12.02},
1641
url = {http://elib.dlr.de/58663/}
1642
}
1643
1644
1645
@inproceedings{Krajzewicz2003c,
1646
author = {Daniel Krajzewicz},
1647
booktitle = {ECTRI 2003 - Young Researcher Seminar},
1648
title = {A Cognitive Driver Model},
1649
year = {2003},
1650
abstract = {many different approaches to understand the process of driving a car
1651
exist, we try to simulate it within this project. This methodology
1652
fits wll into our institute?s work where traffic simulations play
1653
an important role. We not only hope to gain some information about
1654
the most concerned topics on driver related problems - issues on
1655
ergonomics and traffic security - but also some knowledge about traffic
1656
itself. We hope this knowledge will help us to improve microscopic
1657
traffic models used for large area simulations. Herein, som basic
1658
concepts the model incorporates and the main problems during the
1659
research and implementation are described.},
1660
file = {:http\://elib.dlr.de/6718/1/YRS2003_dkrajzew_mod.pdf:URL},
1661
groups = {mentioned, ACMEDriver, submicro, TS, assigned2groups},
1662
journal = {ECTRI Report 2003-03},
1663
keywords = {simulation, cognitive car driver model},
1664
owner = {Daniel},
1665
timestamp = {2011.12.02},
1666
url = {http://elib.dlr.de/6718/}
1667
}
1668
1669
1670
@inproceedings{Krajzewicz2010a,
1671
author = {Daniel Krajzewicz and Laura Bieker},
1672
booktitle = {NEARCTIS 3rd Workshop},
1673
title = {Investigating Ecological Impacts on selected Traffic Management Methods},
1674
year = {2010},
1675
month = {Juni},
1676
abstract = {Within the iTETRIS project, the used SUMO traffic simulation was extended
1677
by models for computing the emissions of pollutants CO, CO2, HC,
1678
PMx, and NOx, as well as for computing the fuel consumption on a
1679
microscopic, per-vehicle, base. The emission model was based on the
1680
HBEFA (?Handbuch der Emissionsfaktoren?) database which covers a
1681
large variety of vehicle types, considering differences between passenger
1682
and heavy duty vehicles, the engine displacement, the fuel type,
1683
and the EURO emission norm of the vehicles. This database was reformulated
1684
into a microscopic model which uses the vehicle class, the vehicle?s
1685
speed and the vehicle?s acceleration for computing the amount of
1686
a certain pollutant?s emission within one discrete time step. The
1687
kind of this model?s embedding within SUMO allows to collect and
1688
to evaluate the ecological impacts of traffic management strategies
1689
on per-vehicle, per-lane, and per-road base. Using this information,
1690
two sub-topics of traffic management were addressed: ecological routing
1691
and the ecological impacts of traffic lights.},
1692
groups = {used, iTETRIS, TLS, metrics, pollution, TS, assigned2groups},
1693
keywords = {traffic management, ecological issues, navigation, traffic lights},
1694
owner = {Daniel},
1695
timestamp = {2011.12.02},
1696
url = {http://elib.dlr.de/64840/}
1697
}
1698
1699
1700
@inproceedings{Krajzewicz2011,
1701
author = {Daniel Krajzewicz and Laura Bieker and Elmar Brockfeld and Ronald Nippold and Julia Ringel},
1702
booktitle = {Heureka '11},
1703
title = {\"Okologische Einfl\"usse ausgew\"ahlter Verkehrsmanagementans\"atze},
1704
year = {2011},
1705
month = {M\"arz},
1706
abstract = {Eine der Aufgaben innerhalb des von der Europ?ischen Kommission kofinanzierten
1707
Projektes ?iTETRIS? war die Betrachtung der ?kologischen Auswirkungen
1708
von Verkehrsmanagementma?nahmen. Um diese Aufgabe erf?llen zu k?nnen
1709
wurde die innerhalb dieses Projektes benutzte Verkehrsflusssimulation
1710
SUMO um ein Modell der Schadstoffemission und des Kraftstoffverbrauchs
1711
erweitert. Mit Hilfe der so erhaltenen Anwendung wurden Versuche
1712
durchgef?hrt, die die Abh?ngigkeit zwischen konventionellen Kenngr??en
1713
des Verkehrsmanagements und den neu errechenbaren ?kologischen Kenngr??en
1714
aufdecken sollten. Innerhalb dieses Berichts werden neben dem Emissionsmodell
1715
die Ergebnisse dieser Untersuchungen vorgestellt, wobei ein starker
1716
Zusammenhang zwischen konventionellen und ?kologischen Kenngr??en
1717
festgestellt wird.},
1718
groups = {used, iTETRIS, TLS, assignment, pollution, TS, assigned2groups},
1719
keywords = {Schadstoffemission, Routenwahl, Verkehrsmanagement},
1720
owner = {Daniel},
1721
timestamp = {2011.12.02},
1722
url = {http://elib.dlr.de/69859/}
1723
}
1724
1725
1726
@article{Krajzewicz20121482,
1727
author = {Daniel Krajzewicz and Laura Bieker and J�r�me H�rri and Robbin Blokpoel},
1728
title = {Simulation of V2X Applications with the iTETRIS System},
1729
journal = {Procedia - Social and Behavioral Sciences},
1730
year = {2012},
1731
volume = {48},
1732
pages = {1482 - 1492},
1733
number = {0},
1734
note = {<ce:title>Transport Research Arena 2012</ce:title>},
1735
abstract = {The main task of the �iTETRIS project which was co-funded by the
1736
European Commission was the development of a software system for
1737
the simulation of large-scale traffic management solutions based
1738
on vehicular communication (V2X). Several steps were taken to assure
1739
that the developed simulation system fits the current research and
1740
engineering needs, including the evaluation of a city�s traffic problems,
1741
definition of performance metrics, development of V2X-enabled traffic
1742
management applications, and the extension of the simulators used
1743
within the developed simulation architecture. Within this report,
1744
the major results of the project will be presented. Most of these
1745
results were made freely available after the project�s end.},
1746
doi = {10.1016/j.sbspro.2012.06.1124},
1747
issn = {1877-0428},
1748
keywords = {traffic management},
1749
url = {http://www.sciencedirect.com/science/article/pii/S1877042812028601}
1750
}
1751
1752
1753
@inproceedings{Krajzewicz2010,
1754
author = {Daniel Krajzewicz and Robbin Blokpoel and Fabio Cartolano and Pasquale Cataldi and Ainara Gonzalez and Oscar Lazaro and J\'er\'emie Leguay and Lan Lin and Julen Maneros and Michele Rondinone},
1755
booktitle = {AMAA 2010},
1756
title = {iTETRIS - A System for the Evaluation of Cooperative Traffic Management Solutions},
1757
year = {2010},
1758
editor = {Gereon Meyer and J\"urgen Valldorf},
1759
month = {Mai},
1760
pages = {399--410},
1761
publisher = {Springer},
1762
series = {VDI-Buch},
1763
abstract = {V2X communication - communication between vehicles (V2V) and between
1764
vehicles and infrastructure (V2I) - promises new methods for traffic
1765
management by supplying new data and by opening new ways to inform
1766
drivers about the current situation on the roads. Currently, V2X
1767
cooperative systems are under development, forced by both the industry
1768
and by the European Commission which supports the development as
1769
a part of its Intelligent Car Initiative. Within this publication,
1770
"iTETRIS", a new system for simulating V2X-based traffic management
1771
applications is described which aims on high-quality simulations
1772
of large areas. This is achieved by coupling two well-known open
1773
source simulators. The sustainability of the project is guaranteed
1774
by making the whole also available as an open source tool.},
1775
groups = {mentioned, iTETRIS, applications, ns-3, TS, Peek Traffic, EURECOM, HITACHI, Thales, UMH, Innovalia Association, CBT, COBO, assigned2groups},
1776
journal = {Advanced Microsystems for Automotive Applications 2010},
1777
keywords = {V2X communication, simulation, traffic management},
1778
owner = {Daniel},
1779
timestamp = {2011.12.02},
1780
url = {http://elib.dlr.de/64340/}
1781
}
1782
1783
1784
@inproceedings{Krajzewicz2006,
1785
author = {Daniel Krajzewicz and Michael Bonert and Peter Wagner},
1786
booktitle = {RoboCup 2006},
1787
title = {The Open Source Traffic Simulation Package SUMO},
1788
year = {2006},
1789
month = {Juni},
1790
abstract = {Since the year 2000, the Institute of Transportation Research (IVF)
1791
at the German Aerospace Centre (DLR) is developing a microscopic,
1792
traffic simulation package. The complete package is offered as open
1793
source to establish the software as a common testbed for algorithms
1794
and models from traffic research. Since the year 2003 the IVF also
1795
works on a virtual traffic management centre and in conjunction with
1796
this on traffic management. Several large-scale projects have been
1797
done since this time, most importantly INVENT where modern traffic
1798
management methods have been evaluated and the online-simulation
1799
and prediction of traffic during the world youth day (Weltjugendtag)
1800
2005 in Cologne/Germany. This publication briefly describes the simulation
1801
package together with the projects mentioned above to show how SUMO
1802
can be used to simulate largescale traffic scenarios. Additionally,
1803
it is pointed out how SUMO may be used as a testbed for automatic
1804
management algorithms with minor effort in developing extensions.},
1805
groups = {presentation, simulation packages, TS, assigned2groups},
1806
journal = {RoboCup 2006},
1807
keywords = {Simulation, Traffic Management, Disaster & Event Management},
1808
owner = {Daniel},
1809
timestamp = {2011.12.02},
1810
url = {http://elib.dlr.de/46740/}
1811
}
1812
1813
1814
@inproceedings{Krajzewicz2007,
1815
author = {Daniel Krajzewicz and Danilot Teta Boyom and Peter Wagner},
1816
booktitle = {Heureka '08},
1817
title = {Untersuchungen der Performanz einer auf C2C-Kommunikation basierenden, autonomen Routenwahl bei Stauszenarien},
1818
year = {2007},
1819
month = {Juli},
1820
abstract = {Neben m?glichem Einsatz bei der Warnung und Unterst?tzung des Fahrers,
1821
der Vorbereitung des Fahrzeugs auf einen kurz bevorstehenden Unfall
1822
oder der Realisierung eines Zugangs zum Internet innerhalb von Fahrzeugen
1823
([6]) wird der Kommunikation zwischen Fahrzeugen auch die M?glichkeit
1824
Staus zu reduzieren zugesprochen. F?r diese Funktion sollen die von
1825
anderen Fahrzeugen erhaltenen Informationen ?ber den Zustand im Stra?ennetz
1826
in angepasste Navigationssysteme einflie?en, so dass diese in der
1827
Lage sind, auf realem und aktuellem Stra?enzustand basierend, Routen
1828
f?r das jeweilige, sie tragende Fahrzeug vorherzusagen. Die hier
1829
vorgestellte Untersuchung soll aufzeigen, inwiefern eine solche zwischen
1830
den Fahrzeugen innerhalb des Systems unkoordinierte Routenwahl tats?chlich
1831
in der Lage ist, die Auswirkungen von Staus zu reduzieren.
1832
1833
1834
F?r die Untersuchung wurde die freie Verkehrsflusssimulation SUMO
1835
([1, 2]) um eine C2C-Komponente erweitert. Als Datengrundlage wurde
1836
ein Stra?ennetz der Stadt Magdeburg benutzt, f?r das eine validierte
1837
Nachfrage existiert. Dieses Dokument beschreibt die Erweiterung der
1838
Simulation um die C2C-Kommunikation, den Aufbau des simulierten Stauszenarios
1839
sowie die Ergebnisse der Untersuchung.},
1840
groups = {used, DanilotTeteBoyom, communication models, navigation, own (DLR), TS, assigned2groups},
1841
keywords = {car2car-Kommunikation, Verkehrsmanagement, Simulation},
1842
owner = {Daniel},
1843
timestamp = {2011.12.02},
1844
url = {http://elib.dlr.de/50466/}
1845
}
1846
1847
1848
@inproceedings{Krajzewicz2007a,
1849
author = {Daniel Krajzewicz and Danilot Teta Boyom and Peter Wagner},
1850
booktitle = {TRB 2008 (87. Annual Meeting)},
1851
title = {Evaluation of the Performance of city-wide, autonomous Route Choice based on Vehicle-to-vehicle-Communictaion},
1852
year = {2007},
1853
month = {Juli},
1854
abstract = {The sharing of information between vehicles via vehicle-to-vehicle
1855
communication has a great potential for future traffic surveillance
1856
and management applications. One possible use case is the communication
1857
of information about the state of the road network, for example by
1858
transferring travel times into the navigation devices enabling them
1859
to compute routes using this knowledge.
1860
1861
1862
This work reports about a set of simulation results where the benefit
1863
of using information exchanged between vehicles was evaluated for
1864
a city scenario using an extended microscopic traffic flow simulation.
1865
The scenario is based on validated real-life data for a normal weekday
1866
within a middle-sized German city. Contrary to other approaches,
1867
the used model of vehicle-to-vehicle communication was implemented
1868
directly into the traffic simulation. It was kept as simple as possible
1869
in order to allow a fast execution needed for evaluating the effects
1870
on a large scale and was calibrated using data from the real life.
1871
This simulation study evaluates the influences of the model?s parameters
1872
and of the amount of vehicles equipped with vehicle-to-vehicle devices
1873
on the mean travel time within the simulated city.},
1874
groups = {used, DanilotTeteBoyom, communication models, navigation, own (DLR), TS, assigned2groups},
1875
keywords = {Vehicle-to-vehicle communication, traffic management, simulation},
1876
owner = {Daniel},
1877
timestamp = {2011.12.02},
1878
url = {http://elib.dlr.de/50464/}
1879
}
1880
1881
1882
@inproceedings{Krajzewicz2007b,
1883
author = {Daniel Krajzewicz and Danilot Teta Boyom and Peter Wagner},
1884
booktitle = {21. Verkehrswissenschaftliche Tage},
1885
title = {Auswirkungen einer auf Car2Car-Kommunikation basierenden, dynamischen Routenwahl bei Beeintr\"achtigungen im Stadtverkehr},
1886
year = {2007},
1887
month = {Juli},
1888
abstract = {Die Kommunikation zwischen Fahrzeugen, die in K?rze im Rahmen des
1889
Projektes SIM-TD praxisnah demonstriert werden soll, birgt ein gro?es
1890
Potential f?r eine zuk?nftige Verkehrslageerfassung wie auch f?r
1891
neue Verfahren beim Management von Verkehrssystemen. Beispielsweise
1892
k?nnen Fahrzeuge Informationen ?ber von einem Normalfall abweichende
1893
Reisezeiten an andere Fahrzeuge weiter geben, die ihrem Fahrer dann
1894
eine neue, am Stau vorbei f?hrende, Route vorschlagen.
1895
1896
1897
Im Rahmen der hier vorgestellten Untersuchung wurde ein solches Szenario
1898
per Simulation evaluiert, um die Effizienz einer solchen Routenwahl
1899
zu demonstrieren. Ausgegangen wurde hierbei von der Simulation einer
1900
ganzen Stadt, die um Staus erweitert worden ist. Neben den Auswirkungen
1901
unterschiedlicher Ausstattungsgrade wurden auch die Einfl?sse weiterer
1902
Kommunikationsparameter untersucht.},
1903
groups = {used, DanilotTeteBoyom, communication models, navigation, own (DLR), TS, assigned2groups},
1904
journal = {21. Verkehrswissenschaftliche Tage},
1905
keywords = {Car2Car-Kommunikation, Verkehrsflusssimulation, Verkehrsmanagement},
1906
owner = {Daniel},
1907
timestamp = {2011.12.02},
1908
url = {http://elib.dlr.de/50463/}
1909
}
1910
1911
1912
@inproceedings{Krajzewicz2005a,
1913
author = {Daniel Krajzewicz and Elmar Brockfeld and J\"urgen Mikat and Julia Ringel and C. R\"ossel and Wolfram Tuchscheerer and Peter Wagner and Richard W\"osler},
1914
booktitle = {3rd Industrial Simulation Conference 2005},
1915
title = {Simulation of modern Traffic Lights Control Systems using the open source Traffic Simulation SUMO},
1916
year = {2005},
1917
editor = {J. Kr\"uger and A. Lisounkin and G. Schreck},
1918
month = {Juni},
1919
pages = {299--302},
1920
publisher = {EUROSIS-ETI},
1921
abstract = {Within the project ?OIS? (optical information systems) new traffic
1922
control mechanisms had to be invented and tested. One of the most
1923
important topics was to optimize the flow over a junction using information
1924
from the OIS sensors which can not be measured using normal sensors
1925
such as induct loops. For this purpose, an ?agentbased? traffic lights
1926
logic algorithm was used, which uses the length of a jam in front
1927
of a traffic light as input. As we had no possibility to test the
1928
traffic lights control within the reality, the improvement of the
1929
flow throughput of such junctions was shown using the open source
1930
traffic Simulation ?SUMO? (Simulation of Urban MObility) [1, 2].
1931
This publication describes the algorithm itself and how it was embedded
1932
within the simulation. Furthermore, the simulation results are given.},
1933
groups = {used, OIS, TLS, TS, assigned2groups},
1934
journal = {Proceedings of the 3rd Industrial Simulation Conference 2005},
1935
keywords = {Microscopic traffic simulation, open source, traffic lights, traffic research},
1936
owner = {Daniel},
1937
timestamp = {2011.12.02},
1938
url = {http://elib.dlr.de/21012/}
1939
}
1940
1941
1942
@inproceedings{dlr81834,
1943
author = {Daniel Krajzewicz and Yun-Pang Fl{\"o}tter{\"o}d},
1944
booktitle = {Kolloquium "Luftqualit{\"a}t an Stra{\ss}en 2013"},
1945
title = {Simulative Untersuchung abstrakter und realer Verkehrsmanagementans{\"a}tze zur Emissionsreduktion},
1946
year = {2013},
1947
month = {M{\"a}rz},
1948
pages = {42--57},
1949
publisher = {Bundesanstalt f{\"u}r Stra{\ss}enwesen},
1950
abstract = {Verkehrsflusssimulationen sind ein etabliertes Werkzeug des Verkehrsmanagements,
1951
die auch zur Bewertung von schadstoffreduzierenden Verkehrsmanagementma{\ss}nahmen
1952
herangezogen werden k{\"o}nnen. Vorgestellt werden abgeschlossene
1953
und laufende Arbeiten zur simulationsgest{\"u}tzten Entwicklung und
1954
Bewertung solcher Ma{\ss}nahmen.},
1955
groups = {pollution},
1956
journal = {Kolloquium Luftqualit{\"a}t an Stra{\ss}en 2013},
1957
keywords = {Simulation, Schadstoffemission, Verkehrsmanagementma{\ss}nahmen},
1958
owner = {dkrajzew},
1959
timestamp = {2014.01.08},
1960
url = {http://elib.dlr.de/81834/}
1961
}
1962
1963
1964
@inproceedings{Krajzewicz2003b,
1965
author = {Daniel Krajzewicz and Markus Hartinger and Georg Hertkorn and Peter Mieth and Christian R\"ossel and Julia Zimmer and Peter Wagner},
1966
booktitle = {Traffic and Granular Flow (TGF)},
1967
title = {Using the Road Traffic Simulation ``SUMO'' for educational Purposes},
1968
year = {2003},
1969
note = {LIDO-Berichtsjahr=2004},
1970
abstract = {Since the year 2000, the Centre of Apllied Informatics and the Institute
1971
f?r Transport Research at the German Aerospace Centre devops a microscopic
1972
road traffic simulation package named &quot;SUMO&quot; - an acronym
1973
for &quot;Simulation of Urban MObility&quot;. Meanwhile, the simulation
1974
is capable to deal with realistic scenarios such as large cities
1975
and is used for these purposes within the Institute?s projects. The
1976
idea was to support the traffic research community with a common
1977
platform to test new ideas and models without the need to reimplement
1978
a framework that handles road data, vehicle routes, traffic light
1979
steering etc. To achieve this goal, the simulation code is available
1980
as open source. Within this publication, we would like to demonstrate
1981
how most attributes of traffic flow can be simulated. This should
1982
be mainly intersting for educational purposes.},
1983
file = {:http\://elib.dlr.de/6719/1/dkrajzew_TGF03Poster_SUMOEducation.pdf:URL},
1984
groups = {used, presentation, assignment, car-following, calibration&validation, TS, assigned2groups},
1985
keywords = {traffic simulation, road traffic, car following, microscopic, continous, multimodal, open source, car-driver model, traffic research, education},
1986
owner = {Daniel},
1987
timestamp = {2011.12.02},
1988
url = {http://elib.dlr.de/6719/}
1989
}
1990
1991
1992
@inproceedings{Krajzewicz2003a,
1993
author = {Daniel Krajzewicz and Markus Hartinger and Georg Hertkorn and Peter Mieth and Julia Ringel and Christian R\"ossel and Peter Wagner},
1994
booktitle = {2003 European Simulation and Modelling Conference},
1995
title = {The "Simulation of Urban MObility" package: An open source traffic simulation},
1996
year = {2003},
1997
abstract = {SUMO is the acronym for "Simulation of Urban MObility", an open source
1998
project concerned with the development and usage of a traffic simulation.
1999
The project is a part of our scientific work concerned with the verification
2000
of different microscopic models of traffic, and their comparison
2001
([1]). Further, the traffic science community often involves ideas
2002
where each of them needs a traffic simulation to be validated. Over
2003
the time, many more or less sophisticated simulations have been developed
2004
to do this job. They mostly stay unknown. This approach is not only
2005
very inefficient as a traffic simulation has many things to regard;
2006
also, the results are often not replicable or at least hard to compare.
2007
When a common platform is supplied, such problems should not occur.
2008
Within this publication, we would like to introduce our package to
2009
the public in the hope to gain some further interest.},
2010
groups = {presentation, simulation packages, TS, assigned2groups},
2011
journal = {Proceedings of the 2003 European Simulation and Modelling Conference},
2012
keywords = {traffic simulation, road traffic, open source, car-driver model, traffic research},
2013
owner = {Daniel},
2014
timestamp = {2011.12.02},
2015
url = {http://elib.dlr.de/21385/}
2016
}
2017
2018
2019
@inproceedings{Krajzewicz2004b,
2020
author = {Daniel Krajzewicz and Markus Hartinger and Georg Hertkorn and Eric Nicolay and Christian R\"ossel and Julia Ringel and Peter Wagner},
2021
booktitle = {WCTR04 - 10th World Conference on Transport Research},
2022
title = {Recent Extensions to the open source Traffic Simulation SUMO},
2023
year = {2004},
2024
abstract = {"SUMO" is the acronym for "Simulation of Urban MObility", an open
2025
source simulation package developed since 2000 at the Institute for
2026
Transportation Research at the German Aerospace Centre (DLR) and
2027
the Centre for Applied Informatics, Cologne (ZAIK). This quite ambitious
2028
project has recently entered his version 0.8 and we will describe
2029
some of the new features herein. Some of them are a new visualisation
2030
module, an extension of the junction concept, simulation of actuated
2031
traffic lights and many more. We hope this information to be interesting
2032
for the traffic science community as the software may be downloaded
2033
and extended for free.},
2034
groups = {presentation, simulation packages, TS, assigned2groups},
2035
journal = {Proceedings of the 10th World Conference on Transport Research (on CD)},
2036
keywords = {SUMO},
2037
owner = {Daniel},
2038
timestamp = {2011.12.02},
2039
url = {http://elib.dlr.de/19475/}
2040
}
2041
2042
2043
@inproceedings{Krajzewicz2002a,
2044
author = {Daniel Krajzewicz and Georg Hertkorn and C. R\"ossel and Peter Wagner},
2045
booktitle = {4th Middle East Symposium on Simulation and Modelling},
2046
title = {SUMO (Simulation of Urban MObility) - an open-source traffic simulation},
2047
year = {2002},
2048
editor = {A. Al-Akaidi},
2049
note = {LIDO-Berichtsjahr=2004,},
2050
pages = {183--187},
2051
abstract = {As no exact model of traffic flow exists due to its high complexity
2052
and chaotic organisation, researchers mainly try to predict traffic
2053
using simulations. Within this field, many simulation packages exist
2054
and differ in their software architecture paradigm as well as in
2055
the models that describe traffic itself. We will introduce yet another
2056
system which, in contrast to most of the other simulation software
2057
packages, is available as on open-source programm and may therfore
2058
be extended in order to fit a researcher?s own needs and also be
2059
used as a reference testbed for new traffic models.},
2060
groups = {presentation, simulation packages, TS, assigned2groups},
2061
journal = {Proceedings of the 4th Middle East Symposium on Simulation and Modelling (MESM20002)},
2062
keywords = {traffic simulation, microscopic, continous, multimodal, open source, car-driver model, traffic research, road traffic},
2063
owner = {Daniel},
2064
timestamp = {2011.12.02},
2065
url = {http://elib.dlr.de/6661/}
2066
}
2067
2068
2069
@inproceedings{Krajzewicz2002b,
2070
author = {Daniel Krajzewicz and Georg Hertkorn and C. R\"ossel and Peter Wagner},
2071
booktitle = {14th European Simulation Symposium},
2072
title = {An Example of Microscopic Car Models Validation using the open source Traffic Simulation SUMO},
2073
year = {2002},
2074
note = {LIDO-Berichtsjahr=2004,},
2075
pages = {318--322},
2076
series = {SCS European Publishing House},
2077
volume = {Jahrgang 2002},
2078
abstract = {In SUMO (Simulation of Urban MObility; An open-source traffic simulation)
2079
we presented an open source simulation software for road traffic
2080
simulation. Now we show one possible field of application, the validation
2081
of microscopic car/car-driver models. Our motivation is to awake
2082
the interest in using and extending the software, so this report
2083
will describe the software?s usability but will not go into depth
2084
in interpreting the results.},
2085
groups = {used, calibration&validation, TS, assigned2groups},
2086
journal = {Proceedings of Simulation in Industry, 14th European Simulation Symposium},
2087
keywords = {traffic simulation, road traffic, car following, model validation, microscopic, continuous, multimodal, open source, car-driver-model, traffic research, validation, calibration},
2088
owner = {Daniel},
2089
timestamp = {2011.12.02},
2090
url = {http://elib.dlr.de/6657/}
2091
}
2092
2093
2094
@inproceedings{Krajzewicz2005,
2095
author = {Daniel Krajzewicz and Georg Hertkorn and Julia Ringel and Peter Wagner},
2096
booktitle = {3rd Industrial Simulation Conference 2005},
2097
title = {Preparation of Digital Maps for Traffic Simulation; Part 1: Approach and Algorithms},
2098
year = {2005},
2099
editor = {J. Kr\"uger and A. Lisounkin and G. Schreck},
2100
month = {Juni},
2101
pages = {285--290},
2102
publisher = {EUROSIS-ETI},
2103
abstract = {Traffic simulations are an accepted tool for investigations on road
2104
traffic and used widely within the traffic science community. Modern
2105
computer systems are fast enough to model and simulate traffic within
2106
large areas at a microscopic scale regarding each vehicle, replacing
2107
macroscopic simulations in most cases. Although microscopic traffic
2108
simulations offer better quality than macroscopic ones, they also
2109
need additional data to describe the modelled road networks. A street?s
2110
lanes are modelled explicitly within microscopic simulations and
2111
in most cases also the connections between their lanes over junctions.
2112
If one wants to model large areas, the best source to get the description
2113
about their road network is the usage of digital maps. Unfortunately,
2114
most of these are used for routing purposes and do not contain the
2115
fine-grained information mentioned above that is needed by microscopic
2116
simulations. This document describes an algorithm for the computation
2117
of the needed information from simple road networks.},
2118
groups = {presentation, road networks, TS, assigned2groups},
2119
journal = {Proceedings of the 3rd Industrial Simulation Conference 2005},
2120
keywords = {Microscopic traffic simulation, digital road maps, open source, traffic research},
2121
owner = {Daniel},
2122
timestamp = {2011.12.02},
2123
url = {http://elib.dlr.de/21013/}
2124
}
2125
2126
2127
@inproceedings{Krajzewicz2004a,
2128
author = {Daniel Krajzewicz and Reinhart K\"uhne and Peter Wagner},
2129
booktitle = {ITS Safety and Security Conference},
2130
title = {A Car Driver's Cognition Model},
2131
year = {2004},
2132
volume = {CD},
2133
abstract = {There is a basic need in transportation planning and traffic engineering
2134
for developing and testing traffic models of different granularity.
2135
Although our major intrest is the replication of traffic within larger
2136
areas, both the current research on traffic safety and the desire
2137
to improve the quality of microscopic simulations makes it necessary
2138
to deal with the car driver?s cognition on a finer scale. This paper
2139
presents our model assumptions for such sub-microscopic simulations,
2140
which are based on results from cognitive psychology. Although some
2141
preliminary work of this type is available, most of these applications
2142
are not open to the public, which makes them useless for scientific
2143
purposes. the cognition simulations availabele up to now mostly deal
2144
withmemory processes and are not easily extendable by further structures
2145
such as vehickles with their dynamics or a representation of the
2146
simulated environment. These considerations motivated us to develop
2147
the above mentioned model from scratch. The design of the model described
2148
herein includes sub-models of a human being?s perception, visual
2149
attention, internal environment representation and decision making
2150
as well as the execution of actions in a simulated vehicle. Results
2151
both from cognitive psychology and the research on human-machine
2152
interaction are incorporated. This paper reveals our premises for
2153
a driver?s cognition model and describes the model itself, followed
2154
by a discussion of the model?s restrictions. As the implementation
2155
process is not yet closed, only some basic results are presented
2156
and a look into the furture of the model is given.},
2157
file = {:http\://elib.dlr.de/6671/2/ITS_dkrajzew_ss25-29.pdf:URL},
2158
groups = {ACMEDriver, submicro, TS, assigned2groups},
2159
journal = {Proceedings of Intelligent Transportation Systems Safety and Security Conference},
2160
keywords = {driver modeling, cognition, sub-microscopic traffic flow modelling, model, lane-changing, Verkehrsmodellierung, Simulation, Anwendungen, Modelle, Programme, Verkehrssicherheit, Verkehrstr?ger Stra?e},
2161
owner = {Daniel},
2162
timestamp = {2011.12.02},
2163
url = {http://elib.dlr.de/6671/}
2164
}
2165
2166
2167
@inproceedings{Krajzewicz2009,
2168
author = {Daniel Krajzewicz and Ronald Nippold},
2169
booktitle = {2nd NEARCTIS workshop 2009},
2170
title = {iTETRIS: An integrated tool set for evaluation of large-scale traffic management application based on vehicular communication},
2171
year = {2009},
2172
groups = {mentioned, iTETRIS, ns-3, TS, assigned2groups},
2173
keywords = {traffic simulation, network (communication) simulation},
2174
owner = {Daniel},
2175
timestamp = {2011.12.02},
2176
url = {http://elib.dlr.de/62588/}
2177
}
2178
2179
2180
@techreport{Krajzewicz2009b,
2181
author = {Krajzewicz, Daniel and Nippold, Ronald and Lazaro, Oscar},
2182
institution = {iTETRIS consortium},
2183
title = {Traffic Modelling: Environmental Factors},
2184
year = {2009},
2185
month = {February},
2186
type = {Deliverable to the European Commission},
2187
groups = {presentation, iTETRIS, pollution, TS, Innovalia Association},
2188
owner = {dkrajzew},
2189
timestamp = {2014.01.08}
2190
}
2191
2192
2193
@inproceedings{Krajzewicz2002,
2194
author = {Daniel Krajzewicz and Peter Wagner},
2195
booktitle = {16th Simulation Mulitconference "Modelling and Simulation 2002"},
2196
title = {ACME (A Common Mental Environment)-Driver - A Cognitive Car Driver Model},
2197
year = {2002},
2198
editor = {Krzysztof Amborski and Hermann Meuth},
2199
note = {LIDO-Berichtsjahr=2004,},
2200
pages = {689--693},
2201
abstract = {When working on large-scale traffic observation projects very often
2202
simulations and therefore, models of the behavior of the molecular
2203
simulation elements (the car-driver-units) are needed. Most of the
2204
models for traffic simulations are based on approximations of statistical
2205
real-world data. While fast in computation, they sometimes fail to
2206
show real-world phenomena. Our project uses a different approach.
2207
We try to model a human driver?s behaviour by modelling her or his
2208
cognitive information processing in a simulated environment. While
2209
several papers about experiments concerning single phenomena exist,
2210
this approach is meant to describe the wohle information processing
2211
of a driver on a high abstraction level. This paper will show some
2212
topics of interest for a human cognition model. Possible applications
2213
are listed, too.},
2214
groups = {mentioned, ACMEDriver, submicro, TS, assigned2groups},
2215
journal = {Proceedings of the 16th Simulation Multiconference "Modelling and Simulation 2002"},
2216
keywords = {cognitive modelling, artificial interlligence, psychology, simulation, traffic simulation, short term memory, reception},
2217
owner = {Daniel},
2218
timestamp = {2011.12.02},
2219
url = {http://elib.dlr.de/6658/}
2220
}
2221
2222
2223
@inproceedings{Krajzewicz2003,
2224
author = {Daniel Krajzewicz and Peter Wagner},
2225
booktitle = {Modellierung und Simulation menschlichen Verhaltens},
2226
title = {Gestalten, Archetypen, Symbole und Signale: Herausforderungen an und Vorteile f\"ur die Modellierung},
2227
year = {2003},
2228
editor = {H.-D. Burkhard and T. Uthmann and G. Lindemann},
2229
note = {LIDO-Berichtsjahr=2004, monograph\verb1_1id=Nr. 163},
2230
number = {163},
2231
pages = {54--67},
2232
publisher = {TU-Berlin},
2233
series = {Informatik-Bericht},
2234
abstract = {Die im Titel genannten, komplexen und abstrakten Gebilde der Psychologie
2235
wurden bislang selten modelliert und formal beschrieben. Unter Betrachtung
2236
des Themengebietes eines unserer Projekte - der Modellierung eines
2237
kognitiven Modells des Autofahrers - m?chten wir hier eine kurze
2238
?bersicht ?ber unsere Idee zu diesen Themen geben, Probleme aufdecken
2239
und einige Potentiale f?r die Modellierung der Kognition aufzeigen,
2240
die einen einfachen Umgang mit diesen Strukturen erm?glichen und
2241
sich tlw. positiv auf die Ausf?hrungsgeschwindigkeiten von Simulationen
2242
auswirken. Zus?tzlich zeigen wir Modelle, die in unsere Arbeit aufgrund
2243
ihrer hohen Ressourcenbeanspruchung, bedingt durch eine konnektionistischen
2244
Herangehensweise, nicht direkt einflie?en k?nnen.},
2245
groups = {mentioned, ACMEDriver, submicro, TS, assigned2groups},
2246
journal = {Modellierung und Simulation menschlichen Verhaltens},
2247
keywords = {Fahrermodellierung, Kognition, Wahrnehmung, Simulation},
2248
owner = {Daniel},
2249
timestamp = {2011.12.02},
2250
url = {http://elib.dlr.de/6659/}
2251
}
2252
2253
2254
@article{Krajzewicz2004,
2255
author = {Daniel Krajzewicz and Peter Wagner},
2256
journal = {MMI-Interaktiv},
2257
title = {Ans\"atze zur kognitiven Simulation eines Autofahrers},
2258
year = {2004},
2259
number = {7},
2260
pages = {84--97},
2261
abstract = {Das Institut f?r Verkehrsforschung am Deutschen Zentrum f?r Luft-
2262
und Raumfahrt (IVF/DLR) setzt in vielen Projekten Simulationen des
2263
Stra?enverkehrs ein, z. B. um Schwachstellen in Verkehrsnetzen zu
2264
finden oder um Ger?te zur Verkehrskontrolle oder -beeinflussung w?hrend
2265
ihrer Entwicklung zu bewerten. In der Regel kommen dabei sogenannte
2266
mikroskopische Simulationen zum Einsatz, deren betrachtete Gr??e
2267
ein Fahrer-Fahrzeug-Objekt ist, das die Bewegung eines Fahrzeugs
2268
im Verkehrsnetz durch wenige Gleichungen beschreibt. Solche Modell
2269
erlauben die Simulation des Stra?enverkehrs gro?er St?dte in Echtzeit,
2270
allerdings bilden sie den Przess des Fahrzeugf?hrens nur vereinfacht
2271
ab. Innerhalb eines der Projekte des IVF soll das Verhalten eines
2272
einzelnen Autofahrers genauer untersucht und modelliert werden. W?hrend
2273
solche Modelle auch f?r andere Gebiete der Verkehrsforschung interessant
2274
sind, z. B. der Forschung zu Fahrsicherheit oder zu Fahrerassistenzsystemen,
2275
erhoffen wir uns, so R?ckschl?sse auf den Verkehrsfluss ziehen und
2276
somit die Qualit?t mikroskopischer Modell erh?hen zu k?nnen. Im Rahmen
2277
dieses Berichts sollen nach einer kurzen Einf?hrung in die Thematik
2278
&quot;Verkehrssimulation&quot; unsere ersten Ans?tze zum Aufbau einer
2279
in ein simuliertes Verkehrsgeschehen integrierten Simulation der
2280
Fahrerkognition gegeben werden.},
2281
editor = {S. Leuchter and M. C. Kindsm\"uller and D. Schulze-Kissing and L. Urbas},
2282
file = {:http\://elib.dlr.de/6721/2/zmms_krajzewicz_wagner.pdf:URL},
2283
groups = {mentioned, ACMEDriver, submicro, TS, assigned2groups},
2284
keywords = {Fahrermodellierung, Verkehrssimulationen, Verkehrsmodelle, Kognition},
2285
owner = {Daniel},
2286
publisher = {Technische Universit\"at Berlin},
2287
series = {Modellierung und Simulation in Mensch-Maschine-Systemen},
2288
timestamp = {2011.12.02},
2289
url = {http://elib.dlr.de/6721/}
2290
}
2291
2292
2293
@inproceedings{Krajzewicz2011a,
2294
author = {Daniel Krajzewicz and Peter Wagner},
2295
booktitle = {AMAA 2011},
2296
title = {Large-scale Vehicle Routing Scenarios based on Pollutant Emission},
2297
year = {2011},
2298
editor = {Gereon Meyer and J\"urgen Valldorf},
2299
month = {Juni},
2300
pages = {237--246},
2301
publisher = {Springer},
2302
abstract = {This paper describes simulation-based investigations on route choice
2303
based on pollutant emission. A microscopic simulation enhanced by
2304
a pollutant emission model was used to evaluate whether a vehicle?s
2305
pollutant emission can be used as an edge weight during route computation
2306
and which effects can be observed in such cases. For each of the
2307
pollutants CO, CO2, NOx, PMx, and HC and for the fuel consumption,
2308
a dynamic user assignment has been performed. The investigations
2309
have been performed twice, using two scenarios of different size.
2310
Large discrepancies for route computation using pollutants have been
2311
observed when comparing inner-city and suburban traffic networks.},
2312
groups = {used, assignment, metrics, pollution, TS, assigned2groups},
2313
journal = {Advanced Microsystems for Automotive Applications 2011},
2314
keywords = {pollutant emission, traffic management, route choice, assignment},
2315
owner = {Daniel},
2316
timestamp = {2011.12.02},
2317
url = {http://elib.dlr.de/70322/}
2318
}
2319
2320
2321
@phdthesis{Krauss1998,
2322
author = {Stefan Krau},
2323
school = {Universit\"{a}t zu K\"{o}ln},
2324
title = {Microscopic Modeling of Traffic Flow: Investigation of Collision Free Vehicle Dynamics},
2325
year = {1998},
2326
file = {:https\://sumo.dlr.de/pdf/KraussDiss.pdf:URL},
2327
groups = {car-following, Universit\\\\\\\\\\\\\\\\"at zu K\\\\\\\\\\\\\\\\"oln, assigned2groups},
2328
institution = {Mathematisches Institut, Universit\"at zu K\"oln},
2329
keywords = {highway traffic, interacting random processes, statistical mechanics type modells, statistical processes; 60K30, 60K35, 90B20, Models, ZAIK},
2330
number = {319},
2331
owner = {dkrajzew},
2332
pages = {116},
2333
timestamp = {2011.09.19}
2334
}
2335
2336
2337
@article{Krauss1997,
2338
author = {Krauss, S. and Wagner, P. and Gawron, C.},
2339
journal = {Phys. Rev. E},
2340
title = {Metastable states in a microscopic model of traffic flow},
2341
year = {1997},
2342
month = {May},
2343
pages = {5597--5602},
2344
volume = {55},
2345
doi = {10.1103/PhysRevE.55.5597},
2346
file = {:https\://sumo.dlr.de/pdf/sk.pdf:URL},
2347
groups = {car-following, TS, Universit\\\\\\\\\\\\\\\\"at zu K\\\\\\\\\\\\\\\\"oln, assigned2groups},
2348
issue = {5},
2349
keywords = {Models, ZAIK},
2350
owner = {dkrajzew},
2351
publisher = {American Physical Society},
2352
timestamp = {2011.09.19},
2353
url = {http://link.aps.org/doi/10.1103/PhysRevE.55.5597}
2354
}
2355
2356
2357
@inproceedings{Lazaro2008,
2358
author = {Oscar Lazaro and Eric Robert and Lin Lan and Javier Gozalvez and Siebe Turksma and Fethi Filali and Fabio Cartolano and M. A. Urrutia and Daniel Krajzewicz},
2359
booktitle = {21st WWRF 2008},
2360
title = {iTETRIS: An Integrated Wireless and Traffic Platform for Real-Time Road Traffic Management Solutions},
2361
year = {2008},
2362
month = {Oktober},
2363
abstract = {Wireless vehicular cooperative systems have been identified as an
2364
attractive solution to improve road traffic management, thereby contributing
2365
to the European goal of safer, cleaner, and more efficient and sustainable
2366
traffic solutions. V2V-V2I communication technologies can improve
2367
traffic management through real-time exchange of data among vehicles
2368
and with road infrastructure. It is also of great importance to investigate
2369
the adequate combination of V2V and V2I technologies to ensure the
2370
continuous and costefficient operation of traffic management solutions
2371
based on wireless vehicular cooperative solutions. However, to adequately
2372
design and optimize these communication protocols and analyze the
2373
potential of wireless vehicular cooperative systems to improve road
2374
traffic management, adequate testbeds and field operational tests
2375
need to be conducted.
2376
2377
2378
Despite the potential of Field Operational Tests to get the first
2379
insights into the benefits and problems faced in the development
2380
of wireless vehicular cooperative systems, there is yet the need
2381
to evaluate in the long term and large dimension the true potential
2382
benefits of wireless vehicular cooperative systems to improve traffic
2383
efficiency. To this aim, iTETRIS is devoted to the development of
2384
advanced tools coupling traffic and wireless communication simulators.},
2385
groups = {mentioned, iTETRIS, ns-3, TS, Peek Traffic, EURECOM, HITACHI, Thales, UMH, Innovalia Association, CBT, COBO, assigned2groups},
2386
keywords = {V2x communications, Simulation Platforms, Wireless Communications},
2387
owner = {Daniel},
2388
timestamp = {2011.12.02},
2389
url = {http://elib.dlr.de/62607/}
2390
}
2391
2392
2393
@mastersthesis{Lehr2005,
2394
author = {Sebastian Lehr},
2395
title = {Optimierung der Kommunikation zwischen am Verkehr beteiligten Strukturen},
2396
school = {Fachhochschule f�r Technik und Wirtschaft Berlin},
2397
year = {2005},
2398
month = {January},
2399
file = {:https\://sumo.dlr.de/pdf/DiplomarbeitSebastianLehr.pdf:URL},
2400
keywords = {Fachhochschule f�r Technik und Wirtschaft Berlin, DLR/TS/VM, sumo},
2401
owner = {dkrajzew},
2402
timestamp = {2011.09.19},
2403
url = {https://sumo.dlr.de/pdf/DiplomarbeitSebastianLehr.pdf}
2404
}
2405
2406
2407
@inproceedings{Maneros2009,
2408
author = {Julen Maneros and Michele Rondinone and Ainara Gonzalez and Ramon Bauza and Daniel Krajzewicz},
2409
booktitle = {ITS-T 2009},
2410
title = {iTETRIS Platform Architecture for the Integration of Cooperative Traffic and Wireless Simulations},
2411
year = {2009},
2412
abstract = {The use of cooperative wireless communications can support driving
2413
through dynamic exchange of Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure
2414
(V2I) messages. Traffic applications based on such systems will be
2415
able to generate a safer, faster, cheaper and cleaner way for people
2416
and goods to move. In this context, the iTERIS project aims at providing
2417
the framework to combine traffic mobility and wireless communication
2418
simulations for large scale testing of traffic management solutions
2419
based on cooperative systems. This paper addresses the description
2420
and explanation of the implementation choices taken to build a modular
2421
and interoperable architecture integrating heterogeneous traffic
2422
and wireless simulators, and application algorithms supporting traffic
2423
management strategies. The functions of an ?in-between? control system
2424
for managing correct simulation executions over the platform are
2425
presented. The inter-block interaction procedures identified to ensure
2426
optimum data transfer for simulation efficiency are also introduced.},
2427
groups = {mentioned, iTETRIS, ns-3, TS, UMH, Innovalia Association, CBT, assigned2groups},
2428
journal = {Proceedings of the 9th IEEE International Conference on ITS Telecommunications},
2429
keywords = {simulation platform, architecture, vehicular communications, traffic, modularity},
2430
owner = {Daniel},
2431
timestamp = {2011.12.02},
2432
url = {http://elib.dlr.de/62604/}
2433
}
2434
2435
2436
@mastersthesis{Morenz2007,
2437
author = {Tino Morenz},
2438
school = {University of Dublin},
2439
title = {iTranSIM - Simulation-based Vehicle Location},
2440
year = {2007},
2441
groups = {used, calibration&validation, surveillance, forecast, public transport, University of Dublin, assigned2groups},
2442
keywords = {University of Dublin, sumo},
2443
owner = {dkrajzew},
2444
timestamp = {2011.09.19}
2445
}
2446
2447
2448
@article{Niebel2008,
2449
author = {Wolfgang Niebel and Michael Bonert and Elmar Brockfeld and Daniel Krajzewicz and Peter Wagner},
2450
journal = {PROM: list studenata Fakulteta prometnih znanosti},
2451
title = {TRAFFIC SURVEILLANCE AND FORECAST FOR LARGE-SCALE EVENTS, Monitoring and Simulating the World Youth Day 2005 and the Soccer World Cup 2006},
2452
year = {2008},
2453
month = {Dezember},
2454
number = {21},
2455
pages = {64--66},
2456
editor = {Fakultet prometnih znanosti Zagreb},
2457
groups = {mentioned, GF4BOS, surveillance, airborne, cameras, forecast, TS, assigned2groups},
2458
keywords = {ANTAR, Traffic Finder, SUMO, SOCCER, Weltjugendtag, Gro?ereignis, Verkehrsmanagement, K?ln, Stuttgart, Berlin},
2459
owner = {Daniel},
2460
timestamp = {2011.12.02},
2461
url = {http://elib.dlr.de/55012/}
2462
}
2463
2464
2465
@inproceedings{dlr54498,
2466
author = {Wolfgang Niebel and Gunnar Fl{\"o}tter{\"o}d},
2467
booktitle = {6th Conference of European Students of Traffic and Transportation Sciences},
2468
title = {SOCCER - TRAFFIC SURVEILLANCE AND FORECAST FOR LARGE-SCALE EVENTS, Monitoring and Simulating the World Youth Day 2005 and the Soccer World Cup 2006},
2469
year = {2008},
2470
editor = {University of {\vZ}ilina, Faculty of Operation and Economics of Tran},
2471
month = {Juni},
2472
note = {Datentr{\"a}ger CD-ROM},
2473
abstract = {It could be demonstrated, that this novel surveillance system integrating
2474
airborne traffic surveillance with traditional ground detection of
2475
traffic flow can yield valuable information needed for a better management
2476
of big events. The combination with a simulation-based ap-proach
2477
to integrate a traditional travel demand forecast and the on-line
2478
data generated during the event itself leads not only to an almost
2479
complete coverage of the traffic system, it also delivers a short-term
2480
forecast for the action forces to react fast to developing aberrations.
2481
Still the methods need to be improved, e.g., data fusion between
2482
simulation and reality.},
2483
groups = {pollution},
2484
journal = {6th Conference of European Students of Traffic and Transportation Sciences},
2485
keywords = {ANTAR, Traffic Finder, SUMO, SOCCER, Weltjugendtag, Gro{\ss}ereignis, Verkehrsmanagement, K{\"o}ln, Stuttgart, Berlin},
2486
owner = {dkrajzew},
2487
timestamp = {2014.01.08},
2488
url = {http://elib.dlr.de/54498/}
2489
}
2490
2491
2492
@mastersthesis{Pereira2011,
2493
author = {Jos Luis Ferr�s Pereira},
2494
title = {An Integrated Architecture for Autonomous Vehicles Simulation},
2495
school = {Faculdade de Engenharia da Universidade do Porto},
2496
year = {2011},
2497
month = {June},
2498
abstract = {Research on autonomous vehicles has come a long way since first findings,
2499
and its software tools
2500
2501
are increasingly acclaimed by the research community. Particularly
2502
with robotics simulators, autonomous
2503
2504
vehicles were provided with a suitable test-bed for experimentation
2505
of new methodologies
2506
2507
such as long-term navigation algorithms, map building and intelligent
2508
reasoning. However,
2509
2510
when it concerns the deployment and validation of such vehicles in
2511
a larger urban traffic scenario,
2512
2513
robotics simulators do not seem to provide the required functionality
2514
for road traffic analysis, or
2515
2516
inter-vehicular communication infrastructure as they seem present
2517
in today�s traffic simulators.
2518
2519
The improvement of such features is the key for the successful practical
2520
deployment of such a
2521
2522
critical system.
2523
2524
2525
The main objective of this dissertation is the integration of two
2526
types of simulators, namely a
2527
2528
robotics and a traffic simulator. This integration will enable autonomous
2529
vehicles to be deployed
2530
2531
in a rather realistic traffic flow as an agent entity (on the traffic
2532
simulator), at the same time it
2533
2534
simulates all its sensors and actuators (on the robotics counterpart).
2535
Also, the statistical tools
2536
2537
available in the traffic simulator will allow practitioners to infer
2538
what kind of advantages such a
2539
2540
novel technology will bring to our everyday�s lives. Furthermore,
2541
the current features and issues on
2542
2543
current robotics and traffic simulators are presented and a taxonomy
2544
for selecting these simulators
2545
2546
is proposed. An architecture for the integration of the aforementioned
2547
simulators is proposed and
2548
2549
implemented in the light of the most desired features of such software
2550
environments.
2551
2552
2553
To assess the usefulness of the platform architecture towards the
2554
expected realistic simulation
2555
2556
facility, a comprehensive system evaluation is also performed and
2557
critically reviewed, leveraging
2558
2559
the feasibility of the integration. Further developments and future
2560
perspectives are pinpointed up
2561
2562
in the end.},
2563
file = {:https\://sumo.dlr.de/pdf/mieec1.pdf:URL},
2564
keywords = {autonomous driving, SUMO, driver modelling, Universidade de Porto,
2565
Models},
2566
owner = {dkrajzew},
2567
timestamp = {2011.09.30}
2568
}
2569
2570
2571
@article{Piorkowski2008,
2572
author = {Piorkowski, Michal and Raya, Maxim and Lugo, Ada and Papadimitratos, Panos and Grossglauser, Matthias and Hubaux, Jean-Pierre},
2573
journal = {{ACM} {SIGMOBILE} {M}obile {C}omputing and {C}ommunications {R}eview},
2574
title = {Tra{NS}: {R}ealistic {J}oint {T}raffic and {N}etwork {S}imulator for {VANET}s},
2575
year = {2008},
2576
number = {1},
2577
pages = {31--33},
2578
volume = {12},
2579
abstract = {Realistic simulation is a necessary tool for the proper evaluation
2580
of newly developed protocols for Vehicular Ad Hoc Networks (VANETs).
2581
Several recent efforts focus on achieving this goal. Yet, to this
2582
date, none of the proposed solutions fulfill all the requirements
2583
of the VANET environment. This is so mainly because road traffic
2584
and communication network simulators evolve in disjoint research
2585
communities. We are developing TraNS, an open-source simulation environment,
2586
as a step towards bridging this gap. This short paper describes the
2587
TraNS architecture and our ongoing development efforts.},
2588
affiliation = {EPFL},
2589
comment = {REVIEWED},
2590
details = {http://infoscience.epfl.ch/record/113879},
2591
documenturl = {http://infoscience.epfl.ch/record/113879/files/trans_mc2r_2007.pdf},
2592
doi = {10.1145/1374512.1374522},
2593
groups = {used, TraNS, ns-2, LCA (Laboratory for computer Communications and Applications), assigned2groups},
2594
keywords = {VANET; Inter Vehicular Communication; Vehicular; applications; realistic mobility models; simulation; performance evaluation; NCCR-MICS; NCCR-MICS/CL3, V2X, EPFL Lausanne, sumo},
2595
oai-id = {oai:infoscience.epfl.ch:113879},
2596
oai-set = {fulltext-public},
2597
owner = {dkrajzew},
2598
status = {PUBLISHED},
2599
timestamp = {2011.09.19},
2600
unit = {LCA}
2601
}
2602
2603
2604
@inproceedings{Rondinone2009,
2605
author = {Michele Rondinone and Oscar Lazaro and Carlo Michelacci and Daniel Krajzewicz and Robbin Blokpoel and Julen Maneros and Lan Lin and Fatma Hrizi and J\'er\'emie Leguay and Matthias R\"ockl},
2606
booktitle = {POLIS 2009},
2607
title = {Investigating the Efficiency of ITS Cooperative Systems for a Better Use of Urban Transport Infrastructures: The iTETRIS Simulation Platform},
2608
year = {2009},
2609
month = {Dezember},
2610
abstract = {The use of cooperative ITS communication systems, supporting driving
2611
through the dynamic exchange of Vehicle-to- Vehicle (V2V) and Vehicle-to-Infrastructure
2612
(V2I) messages, is a potential candidate to improve the economical
2613
and societal welfare. The application of such systems for novel cooperative
2614
traffic management strategies can introduce a lot of beneficial effects
2615
not only for road safety, but also for the economy related to transportation
2616
systems and the environmental impact. Despite this apparent set of
2617
promising features, City Road Authorities, which hold a key-role
2618
in determining the final adoption of such systems, still look at
2619
cooperative systems without sharing a clear opinion. This is mainly
2620
due to the current lack of definitive and solid evidences of the
2621
effectiveness of such systems when applied in the real world. In
2622
order to fill this gap and let Road Authorities estimate the usefulness
2623
of such technologies in achieving the objectives dictated by cities?
2624
traffic management policies, the EU consortium iTETRIS is developing
2625
a simulation platform for large scale testing of traffic management
2626
solutions making use of cooperative ITS systems. Thanks to its own
2627
distinguishing features, iTETRIS aims at becoming a good supporting
2628
tool for Road Authorities to implement preliminary tests on the effectiveness
2629
of ITS solutions prior to investing money for the physical deployment
2630
of the communication infrastructures allowing their functioning.},
2631
groups = {mentioned, iTETRIS, ns-3, EURECOM, HITACHI, Thales, UMH, Innovalia Association, CBT, COBO, assigned2groups},
2632
journal = {Proceedings of the Polis Conference 2009 - European Cities and Regions Networking for Innovative Transport Solutions},
2633
keywords = {vehicular communication, simulation},
2634
owner = {Daniel},
2635
timestamp = {2011.12.02},
2636
url = {http://elib.dlr.de/62610/}
2637
}
2638
2639
2640
@inproceedings{Rosenbaum2011,
2641
author = {Dominik Rosenbaum and Michael Behrisch and Jens Leitloff and Franz Kurz and Oliver Meynberg and Tanja Reize and Peter Reinartz},
2642
booktitle = {EOGC 2011},
2643
title = {An airborne camera system for rapid mapping in case of disaster and mass events},
2644
year = {2011},
2645
month = {April},
2646
abstract = {Here we present an airborne optical camera system with an extended
2647
image processing unit onboard the aircraft and a radio data downlink.
2648
With all these components the system is well suited for rapid mapping
2649
applications in case of mass events and disaster. The image processing
2650
unit provides the possibility of direct orthorectification/georeferencing
2651
of the aerial images by the use of an IMU/GPS real-time navigation
2652
system without the use of ground control points. Furthermore thematic
2653
processing algorithms implemented to the image processing unit can
2654
analyse orthoimages e.g. for road traffic data content, people density
2655
and movement during mass events or DSM generation and 3D analysis
2656
directly onboard the aircraft. Resulting data and images can be transmitted
2657
to the ground via radio data downlink immediately. Road traffic data
2658
is used at the ground station in a traffic simulation for filling
2659
coverage gaps and traffic forecast. All in all, the system forms
2660
a powerful tool to operation controllers of security authorities
2661
and organizations in case of mass events or disasters.},
2662
groups = {used, VABENE, surveillance, airborne, cameras, forecast, TS, MF, assigned2groups},
2663
journal = {Proceedings of the Earth Observation for Global Change 2011 - EOGC 2011 (Munich, Germany, 2011-04-13 to 2011-04-15)},
2664
keywords = {Rapid Mapping, Monitoring, Recognition, Orthorectification, Georeferencing, Image, Pattern, Sequences},
2665
owner = {Daniel},
2666
timestamp = {2011.12.02},
2667
url = {http://elib.dlr.de/70510/}
2668
}
2669
2670
2671
@inproceedings{Sanchez2006,
2672
author = {Miguel Sanchez and Juan-Carlos Cano and Dongkyun Kim},
2673
booktitle = {ITS Telecommunications Proceedings, 2006 6th International Conference on},
2674
title = {Predicting Traffic lights to Improve Urban Traffic Fuel Consumption},
2675
year = {2006},
2676
month = {june},
2677
pages = {331 -336},
2678
abstract = {Modern traffic control systems include smart feedback into the traffic
2679
light control system. New ways of improving our transit systems fuel
2680
efficiency are now more than welcome due to global warming and oil
2681
high price. This paper presents a new approach on how drivers and
2682
traffic lights can interact to save fuel. Our preliminary results
2683
show that 25% savings are within range in urban circuits},
2684
doi = {10.1109/ITST.2006.288906},
2685
groups = {GLOSA, assigned2groups, dkrajzew:6},
2686
keywords = {global warming;light control system;traffic control system;urban traffic fuel consumption;road traffic;traffic control;},
2687
owner = {dkrajzew},
2688
timestamp = {2012.01.26}
2689
}
2690
2691
2692
@inproceedings{Schlingelhof2006,
2693
author = {Marius Schlingelhof and Reinhart K\"uhne and Daniel Krajzewicz},
2694
booktitle = {TRB 2006 (85th Annual Meeting)},
2695
title = {NEW GNSS-BASED APPROACHES FOR ADVANCED DRIVER ASSISTANCE SYSTEMS},
2696
year = {2006},
2697
month = {Januar},
2698
abstract = {The enhancement of road safety and traffic efficiency are the focus
2699
of many endeavours in science, economy and politics. A traditional
2700
approach is to increase vehicle safety by advanced and intelligent
2701
onboard systems using high developed sensors for the monitoring of
2702
the vehicle?s surrounding. However, these technologies are vehicle-autonomous
2703
solutions that only consider information coming from onboard sensors.
2704
These sensors are normally based on optical, ultra-sonic, radar or
2705
video camera systems and can only detect other vehicles or other
2706
objects along a line-of-sight up to the next obstacle. The view beyond
2707
a truck cruising just in front of the vehicle, for example, is not
2708
possible.
2709
2710
2711
New approaches are now dealing with co-operative technologies that
2712
enable the exchange of important information between vehicles and
2713
infrastructures for updated traffic data acquisition, recognition
2714
of traffic congestion due to accidents or other sudden incidents,
2715
local dynamic map data updates and driver warning. One key technology
2716
within such co-operative systems is the highly precise relative positioning
2717
between vehicles and the monitoring of the broader vehicle environment
2718
using ad-hoc data networks. These technologies can be primarily based
2719
on satellite systems like GPS or GALILEO supplemented by other onboard
2720
sensor data, whereby unprocessed sensor data and satellite pseudo
2721
range information will be exchanged between the vehicles within a
2722
dedicated radio range. These data, when compared with the onboard
2723
data, will finally enable the creation of virtual images of a vehicle?s
2724
surrounding using special microscopic traffic modelling algorithms.
2725
Future applications are road safety and Advanced Driver Assistance
2726
Systems (ADAS).},
2727
groups = {surveillance, TS, assigned2groups},
2728
keywords = {GPS, Galileo, GNSS, ADAS, Road Safety, Relative Positioning, Surrounding Monitoring},
2729
owner = {Daniel},
2730
timestamp = {2011.12.02},
2731
url = {http://elib.dlr.de/21758/}
2732
}
2733
2734
2735
@article{Smilowitz1999,
2736
author = {Karen R. Smilowitz and Karen R. Smilowitz and Carlos F. Daganzo and
2737
Carlos F. Daganzo and Michael J. Cassidy and Michael J. Cassidy and
2738
Robert L. Bertini and Robert L. Bertini},
2739
title = {Some Observations of Highway Traffic in Long Queues},
2740
journal = {Transportation Research Records},
2741
year = {1999},
2742
volume = {1678},
2743
pages = {225-233},
2744
keywords = {real-world data, model calibration},
2745
owner = {dkrajzew},
2746
timestamp = {2011.09.30}
2747
}
2748
2749
2750
@inproceedings{Sommer:2008:NBC:1374688.1374697,
2751
author = {Christoph Sommer and Zheng Yao and Reinhard German and Falko Dressler},
2752
title = {On the need for bidirectional coupling of road traffic microsimulation
2753
and network simulation},
2754
booktitle = {Proceedings of the 1st ACM SIGMOBILE workshop on Mobility models},
2755
year = {2008},
2756
series = {MobilityModels '08},
2757
pages = {41--48},
2758
address = {New York, NY, USA},
2759
publisher = {ACM},
2760
acmid = {1374697},
2761
doi = {10.1145/1374688.1374697},
2762
isbn = {978-1-60558-111-8},
2763
keywords = {network simulation, road traffic microsimulation, vehicular ad hoc
2764
networks},
2765
location = {Hong Kong, Hong Kong, China},
2766
numpages = {8},
2767
url = {http://doi.acm.org/10.1145/1374688.1374697}
2768
}
2769
2770
2771
@inproceedings{Tielert2010,
2772
author = {Tielert, T. and Killat, M. and Hartenstein, H. and Luz, R. and Hausberger, S. and Benz, T.},
2773
booktitle = {Internet of Things (IOT), 2010},
2774
title = {The impact of traffic-light-to-vehicle communication on fuel consumption and emissions},
2775
year = {2010},
2776
month = {29 2010-dec. 1},
2777
pages = {1 -8},
2778
abstract = {#x201C;Smart #x201D; vehicles of the future are envisioned to aid
2779
their drivers in reducing fuel consumption and emissions by wirelessly
2780
receiving phase-shifting information of the traffic lights in their
2781
vicinity and computing an optimized speed in order to avoid braking
2782
and acceleration maneuvers. Previous studies have demonstrated the
2783
potential environmental benefit in small-scale simulation scenarios.
2784
To assess the overall benefit, large-scale simulations are required.
2785
In order to ensure computational feasibility, the applied simulation
2786
models need to be simplified as far as possible without sacrificing
2787
credibility. Therefore this work presents the results of a sensitivity
2788
analysis and identifies gear choice and the distance from the traffic
2789
light at which vehicles are informed as key influencing factors.
2790
Our results indicate that a suboptimal gear choice can void the benefits
2791
of the speed adaptation. Furthermore, we present first results of
2792
a scale-up simulation using a real-world inner-city road network
2793
and discuss the range in which we expect the saving in fuel consumption
2794
to be in reality.},
2795
doi = {10.1109/IOT.2010.5678454},
2796
file = {:http\://www.caad.arch.ethz.ch/noolab/files/external/conferences/IoT2010_proceedings/pdf/Conference/GreenIoT/C3.pdf:URL},
2797
groups = {GLOSA, assigned2groups, documentAssigned, dkrajzew:6},
2798
keywords = {fuel consumption;phase shifting information;smart vehicles;traffic lights;traffic-light-to-vehicle communication;mobile communication;phase shifters;},
2799
owner = {dkrajzew},
2800
timestamp = {2012.01.26}
2801
}
2802
2803
2804
@article{Treiber2000,
2805
author = {Martin Treiber and Ansgar Hennecke and Dirk Helbing},
2806
journal = {PHYSICAL REVIEW E},
2807
title = {Congested Traffic States in Empirical Observations and Microscopic Simulations},
2808
year = {2000},
2809
pages = {1805},
2810
volume = {62},
2811
file = {:http\://arxiv.org/pdf/cond-mat/0002177v2.pdf:URL},
2812
groups = {GLOSA, assigned2groups, documentAssigned, dkrajzew:6},
2813
owner = {dkrajzew},
2814
timestamp = {2012.01.26},
2815
url = {doi:10.1103/PhysRevE.62.1805}
2816
}
2817
2818
2819
@inproceedings{SandeshFiore2011,
2820
author = {Sandesh Uppoor and Marco Fiore},
2821
booktitle = {IEEE Vehicular Networking Conference (VNC)},
2822
title = {Large-scale Urban Vehicular Mobility for Networking Research},
2823
year = {2011},
2824
address = {Amsterdam, The Netherlands},
2825
month = {11},
2826
abstract = {Simulation is the tool of choice for the largescale
2827
2828
performance evaluation of upcoming telecommunication
2829
2830
networking paradigms that involve users aboard vehicles, such
2831
2832
as next-generation cellular networks for vehicular access, pure
2833
2834
vehicular ad hoc networks, and opportunistic disruption-tolerant
2835
2836
networks. The single most distinguishing feature of vehicular
2837
2838
networks simulation lies in the mobility of users, which is the
2839
2840
result of the interaction of complex macroscopic and microscopic
2841
2842
dynamics. Notwithstanding the improvements that vehicular mobility
2843
2844
modeling has undergone during the past few years, no car
2845
2846
traffic trace is available today that captures both macroscopic and
2847
2848
microscopic behaviors of drivers over a large urban region, and
2849
2850
does so with the level of detail required for networking research.
2851
2852
In this paper, we present a realistic synthetic dataset of the car
2853
2854
traffic over a typical 24 hours in a 400-km2 region around the city
2855
2856
of K�oln, in Germany. We outline how our mobility description
2857
2858
improves today�s existing traces and show the potential impact
2859
2860
that a comprehensive representation of vehicular mobility can
2861
2862
have one the evaluation of networking technologies.},
2863
file = {:http\://kolntrace.project.citi-lab.fr/data/uppoor_vnc11.pdf:URL},
2864
groups = {used, TAPAS, connectivity, generation, assignment, road networks, INRIA, assigned2groups},
2865
owner = {dkrajzew},
2866
timestamp = {2011.12.01}
2867
}
2868
2869
2870
@inproceedings{Varschen2006,
2871
author = {Christian Varschen and Peter Wagner},
2872
booktitle = {AMUS 2006 (7. Aachener Kolloqium "Mobilit\"at und Stadt")},
2873
title = {Mikroskopische Modellierung der Personenverkehrsnachfrage auf Basis von Zeitverwendungstageb\"uchern},
2874
year = {2006},
2875
editor = {Klaus J. Beckmann},
2876
pages = {63--69},
2877
publisher = {Institut f\"ur Stadtbauwesen und Stadtverkehr, RWTH Aachen},
2878
series = {Stadt Region Land},
2879
volume = {81},
2880
abstract = {Die wachsende Verkehrsleistung und die hieraus resultierenden Verkehrsprobleme
2881
f?hren verst?rkt zu der Frage, mit welchen Konzepten der zuk?nftige
2882
Verkehrsbedarf erf?llt werden kann. Wichtige Werkzeuge im Rahmen
2883
von Verkehrsplanung und Verkehrsmanagement sind Verkehrsmodelle,
2884
mit denen Prognosen des zu erwartenden Verkehrsaufkommens erstellt
2885
werden k?nnen und die damit Ansatzpunkte f?r seine verbesserte Lenkung
2886
liefern. Im Rahmen mehrerer Projekte wird das am DLR-IVF entwickelte
2887
agentenbasierte Personennachfragemodell TAPAS (Travel and Activity
2888
PAtterns Simulation) genutzt. In diesem Modell wird ein aktivit?ten-basierter
2889
Ansatz verwendet, welcher auf der Analyse von Zeitverwendungsdaten
2890
beruht. Daher sind die zur Verf?gung stehenden Aktivit?tenmuster
2891
auf die in den Zeitverwendungsdaten enthaltenen beschr?nkt, was f?r
2892
Prognosen eine starke Einschr?nkung darstellt. Die hier beschriebene
2893
Erweiterung des Modells erm?glicht das Einf?gen neuer Aktivit?tenkategorien;
2894
TAPAS beschreibt jede Aktivit?t durch vier Parameter, die sich alle
2895
aus Erhebungen sch?tzen lassen: Anteil und Umfang der Nutzung der
2896
(f?r TAPAS neuen) Aktivit?t sowie die zeitliche Variabilit?t der
2897
Aktivit?t hinsichtlich Anfangszeitpunkt und Dauer. Die ersten beiden
2898
Parameter werden direkt aus den empirischen Daten gewonnen, w?hrend
2899
die letzten beiden sich aus der statistischen Variation der Erhebungen
2900
ergeben. Die Weiterentwicklung des Modells pr?zisiert die Absch?tzung
2901
der Personenverkehrsnachfrage unter besonderer Ber?cksichtigung spezifischer
2902
wissenschaftlicher und politischer Fragestellungen. Die enge Verkn?pfung
2903
mit empirischen Daten erh?ht zudem eine hohe Zuverl?ssigkeit von
2904
Prognosen.},
2905
groups = {TAPAS, generation, TS, VF, assigned2groups},
2906
journal = {Integrierte Mikro-Simulation von Raum- und Verkehrsentwicklung. Theorie, Konzepte, Modelle, Praxis},
2907
keywords = {Personenverkehrsnachfrage, Modellierung, aktivit?ten-basiert, Zeitbudget, TAPAS},
2908
owner = {Daniel},
2909
timestamp = {2011.12.02},
2910
url = {http://elib.dlr.de/45058/}
2911
}
2912
2913
2914
@mastersthesis{Verges2013,
2915
author = {Verg�s, Josep Tom�s},
2916
school = {TU Berlin},
2917
title = {Analysis and simulation of traffic management actions for traffic emission reduction},
2918
year = {2013},
2919
month = {July},
2920
type = {Master Thesis},
2921
groups = {pollution},
2922
owner = {dkrajzew},
2923
timestamp = {2014.01.08}
2924
}
2925
2926
2927
@inproceedings{dlr72224,
2928
author = {Peter Wagner and Gunnar Fl{\"o}tter{\"o}d and Ronald Nippold and Yun-Pang Fl{\"o}tter{\"o}d},
2929
booktitle = {Transportation Research Board 91st Annaul Meeting},
2930
title = {Simplified car-following models},
2931
year = {2012},
2932
month = {Januar},
2933
abstract = {This work presents strong evidence that human car-following behaviour
2934
can be described by a linear model with no more than three parameters
2935
to an amazing degree of precision. From this result it can be inferred
2936
that any microscopic traffic flow model can be composed of the car-following
2937
behaviour plus a couple of rules that fixes boundaries of the behaviour
2938
in terms of limitations to speed, acceleration, and safety. These
2939
limitations, however, usually have a clear physical meaning and understanding
2940
and are the only non-linearities needed to built a microscopic traffic
2941
flow model.},
2942
groups = {pollution},
2943
keywords = {car-following, simple traffic flow models, ARIMA, calibration of traffic flow models},
2944
owner = {dkrajzew},
2945
timestamp = {2014.01.08},
2946
url = {http://elib.dlr.de/72224/}
2947
}
2948
2949
2950
@inproceedings{dlr71872,
2951
author = {Yun-Pang Wang and Gunnar Fl{\"o}tter{\"o}d},
2952
booktitle = {MT-ITS 2011},
2953
title = {Route choice calibration from multi-point vehicle stream measurements},
2954
year = {2011},
2955
month = {Juni},
2956
abstract = {To better und more precisely assess different transporta-tion design
2957
alternatives and traffic management strategies, microscopic traffic
2958
simulation models are extensively applied. The respective calibration
2959
and validation works are getting more and more important. Nowadays,
2960
GPS-based systems are broadly applied. More and more route related
2961
information can be collected, which promises great improvements of
2962
calibra-tion accuracy. An approach using multi-point vehicle stream
2963
measurements is proposed in this paper and is shown to work well
2964
in synthetic experiments.},
2965
groups = {pollution},
2966
keywords = {route choice, vehicle reidentification, traffic simulation SUMO, CADYTS},
2967
owner = {dkrajzew},
2968
timestamp = {2014.01.08},
2969
url = {http://elib.dlr.de/71872/}
2970
}
2971
2972
2973
@misc{dlr56995,
2974
author = {Yun-Pang Wang and Bernhard Friedrich},
2975
month = {M{\"a}rz},
2976
title = {Optimierung der Matrixsch{\"a}tzung durch Elimination redundanter Informationen},
2977
year = {2008},
2978
abstract = {Mit den zunehmenden M{\"o}glichkeiten der automatischen Verkehrsdatenerfassung
2979
stellt sich die Frage, welchen Einfluss die Kenntnis von Abbiegestr{\"o}men
2980
und daraus folgende redun-dante Informationen auf die Sch{\"a}tzung
2981
von Herkunft-/ Zielbeziehungen haben und wie m{\"o}g-liche negative
2982
Effekte auf die G{\"u}te der Sch{\"a}tzung bei bestehenden Erfassungsstellen
2983
ver-mieden werden k{\"o}nnen. Deshalb wurde in dieser Arbeit vor
2984
allem der Einfluss redundanter Informationen analysiert. Ein geeignetes
2985
Eliminationsverfahren (MERI) wurde entwickelt. Es wurde nachgewiesen,
2986
dass die negative Auswirkung redundanter Informationen im Informa-tions-Minimierungs-Modell
2987
(IM-Modell) durch MERI beseitigt werden konnte und die Sch{\"a}tz-g{\"u}te
2988
besser als die des Verbesserten IM-Modells (VIM-Modell) ist.},
2989
booktitle = {HEUREKA 2008},
2990
editor = {Forschungsgesellschaft f{\"u}r Stra{\ss}en- und Verkehrswesen},
2991
groups = {pollution},
2992
keywords = {Matrixsch{\"a}tzung, Matrixanpassung, redundante Information},
2993
owner = {dkrajzew},
2994
timestamp = {2014.01.08},
2995
url = {http://elib.dlr.de/56995/}
2996
}
2997
2998
2999
@inproceedings{dlr62716,
3000
author = {Yun-Pang Wang and Bernhard Friedrich},
3001
booktitle = {Transportation Research Board 2009 Annual Meeting},
3002
title = {Improving matrix estimation pertaining to detailed traffic information and sophisticated traffic state},
3003
year = {2009},
3004
month = {Januar},
3005
publisher = {Transportation Research Board},
3006
abstract = {Technical innovation and extensive application of adaptive signal
3007
control at intersections have made turning flow information that
3008
provide more precise constraints for Origin-Destination matrix (O-D
3009
matrix) estimation easily available in great quantity and more accurate
3010
than ever. However, the influence of turning flow and duplication
3011
of information on the existing matrix estimation models and on the
3012
accuracy of O-D matrix estimation has not been broadly investigated.
3013
Also, traffic phenomenon in networks becomes complicated and difficult
3014
to explain with the increase in number of vehicles, variety of daily
3015
activities and sophisticated travel behaviors. As such, general congested
3016
traffic state as well as diverse travelers? perception about travel
3017
time should be taken into consideration in O-D matrix estimation
3018
models. In this paper, the influence of applying finer and duplicated
3019
flow information as well as route choice proportion estimates on
3020
the performance of the Information minimization (IM) and the modified
3021
IM models were examined. It has shown that duplicate information
3022
has adverse effect on the accuracy of matrix estimation, whereas
3023
additional turning flow information can improve estimation accuracy.
3024
Based on the examination results a methodology using the IM model,
3025
the stochastic user equilibrium (SUE) assignment and the information
3026
screening process, was proposed to optimize the goodness of estimation
3027
and enhance the IM model to deal with the traffic situation more
3028
realistically. The respective convergence and required computation
3029
time were also examined. Furthermore, an empirical route choice study
3030
was conducted in order to help determining the size of a route set
3031
used in the SUE assignment model.},
3032
groups = {pollution},
3033
journal = {Compendium of TRB 88th Annual Meeting},
3034
keywords = {matrix estimation, SUE, information minimization, entropy maximization},
3035
owner = {dkrajzew},
3036
timestamp = {2014.01.08},
3037
url = {http://elib.dlr.de/62716/}
3038
}
3039
3040
3041
@inproceedings{dlr77309,
3042
author = {Yun-Pang Wang and Peter Wagner and Michael Behrisch},
3043
booktitle = {HEUREKA 2011},
3044
title = {Ann{\"a}herung an das dynamische Systemoptimum mit Hilfe von Einzelfahrzeuginformationen},
3045
year = {2011},
3046
month = {M{\"a}rz},
3047
abstract = {Der Verkehr in einem gegebenen Untersuchungsgebiet organisiert sich
3048
selbst in eine Ann{\"a}herung an das sogenannte Nutzeroptimum. Im
3049
Widerspruch dazu steht die Forderung von Verkehrsmanagern, ein Systemoptimum
3050
zur besten Nutzung der vorhandenen verkehrlichen Ressourcen anzustreben.
3051
In der Praxis ist es wegen der sich st{\"a}ndig ver{\"a}ndernden
3052
Verkehrszust{\"a}nde schwierig, Kantenwiderstandsfunktionen zu bestimmen.
3053
Heutzutage k{\"o}nnen viele Verkehrsinformationen mittlerweile direkt
3054
von Meldefahrzeugen erfasst werden. Daraus k{\"o}nnen viele zeitabh{\"a}ngige
3055
Informationen abgeleitet werden. In dieser Arbeit wird untersucht,
3056
ob und wie man auf einfache Weise ein Systemoptimum mit Hilfe einer
3057
mikroskopischen Simulation berechnen kann und welches Ausma{\ss}
3058
an Informationen zur Ann{\"a}herung an ein Systemoptimum erforderlich
3059
ist.},
3060
groups = {pollution},
3061
keywords = {dynamische Systemoptimum, mikroskopische Verkehrssimulation},
3062
owner = {dkrajzew},
3063
timestamp = {2014.01.08},
3064
url = {http://elib.dlr.de/77309/}
3065
}
3066
3067
3068
@inproceedings{dlr65940,
3069
author = {Yun-Pang Wang and Peter Wagner and Michael Behrisch},
3070
booktitle = {3rd NEARCTIS workshop},
3071
title = {Towards a dynamic system optimum based on the simulated traffic data in the microscopic traffic simulation},
3072
year = {2010},
3073
month = {Juni},
3074
abstract = {Microscopic traffic simulation has been applied since decades in order
3075
to better describing both drivers? behaviors and interactive effects
3076
among network infrastructure, drivers and traffic control applications.
3077
Furthermore, it is also used as an evaluation tool for analyzing
3078
influences of proposed management strategies and traffic-related
3079
telematics technologies on network performances, such as efficiency
3080
and safety. Achieving a system optimum in a road network is the main
3081
concern of traffic managers at all times, although most road users
3082
tend to make the route choice decision which is best suitable for
3083
their journeys in practice. The main difference between system optimum
3084
and user equilibrium is the marginal total travel costs, i.e. travel
3085
times, which are the costs that an additional road user causes to
3086
the other road users already in the network during the analysis period.
3087
3088
Generally, travel times can be determined, i.e. approximated, by given
3089
link travel time functions, which are functions of link flows. The
3090
functional forms and respective parameters of the most travel time
3091
functions are derived from empirical data. This approach has been
3092
extensively applied in the macroscopic traffic modeling and the dynamic
3093
traffic assignment modeling. Therefore, respective marginal costs
3094
can be obtained by calculating the corresponding derivatives. However,
3095
such travel time functions and their derivates are not required and
3096
also not applied in a microscopic simulation, since the travel time,
3097
travel flows and other parameters are directly measured in a simulation.
3098
In this study, how to define and calculate marginal costs with use
3099
of the simulated data is investigated.},
3100
groups = {pollution},
3101
keywords = {system optimum, SUMO, microscopic traffic simulation},
3102
owner = {dkrajzew},
3103
timestamp = {2014.01.08},
3104
url = {http://elib.dlr.de/65940/}
3105
}
3106
3107
3108
@phdthesis{Wegener2009,
3109
author = {Axel Wegener},
3110
school = {Universit\"at zu L\"ubeck},
3111
title = {Organic-Computing-Konzepte und deren Umsetzung f�r dezentrale Anwendungen im Stra�enverkehr},
3112
year = {2009},
3113
file = {:http\://d-nb.info/997885203/34:URL},
3114
groups = {used, surveillance, navigation, GLOSA, ns-2, TraCI, Institute of Telematics, assigned2groups, documentAssigned},
3115
owner = {dkrajzew},
3116
timestamp = {2012.01.23}
3117
}
3118
3119
3120
@inproceedings{Wegener2008,
3121
author = {Wegener, A. and Hellbr\"uck, H. and Wewetzer, C. and L\"ubke, A.},
3122
booktitle = {GLOBECOM Workshops, 2008 IEEE},
3123
title = {VANET Simulation Environment with Feedback Loop and its Application to Traffic Light Assistance},
3124
year = {2008},
3125
month = {30 2008-dec. 4},
3126
pages = {1 -7},
3127
abstract = {Traffic applications, in which vehicles are equipped with a radio
3128
interface and communicate directly with each other and the road traffic
3129
infrastructure are a promising field for ad-hoc network technology.
3130
Vehicular applications reach from entertainment to traffic information
3131
systems, including safety aspects where warning messages can inform
3132
drivers about dangerous situations in advance. As performance tests
3133
of the real system are very expensive and not comprehensive, today's
3134
evaluations are based on analysis and simulation via traffic simulators.
3135
In order to investigate the impact of traffic information systems
3136
there are two options: First, traffic simulators can be extended
3137
by application code and a simplified model for wireless communication.
3138
Second, existing network simulators can be coupled with existing
3139
traffic simulators. We favor the coupling of existing and well known
3140
simulators as we believe that the wireless communication characteristics
3141
influence the data transfer significantly and an oversimplified transmission
3142
model can lead to flawed results. In this paper we describe the feedback
3143
loop between traffic and network simulators named traffic control
3144
interface (TraCI) and outline its versatility. We explain its use
3145
to determine possible energy consumption reduction when traffic lights
3146
send their phase schedules to vehicles.},
3147
doi = {10.1109/GLOCOMW.2008.ECP.67},
3148
groups = {used, GLOSA, ns-2, TraCI, VW, Institute of Telematics, Department of Electrical Engineering, assigned2groups},
3149
keywords = {TraCI;VANET simulation environment;ad-hoc network technology;feedback loop;oversimplified transmission model;radio interface;road traffic infrastructure;safety aspects;traffic control interface;traffic information systems;traffic light assistance;traffic simulators;wireless communication;ad hoc networks;mobile radio;road safety;road traffic;traffic information systems;, V2X, TU L�beck, sumo},
3150
owner = {dkrajzew},
3151
timestamp = {2011.09.19}
3152
}
3153
3154
3155
@inproceedings{Wegener2008a,
3156
author = {Axel Wegener and Micha\l Pi\'{o}rkowski and Maxim Raya and Horst Hellbr\"{u}ck and Stefan Fischer and Jean-Pierre Hubaux},
3157
booktitle = {11{t}h {C}ommunications and {N}etworking {S}imulation {S}ymposium ({CNS})},
3158
title = {Tra{CI}: {A}n {I}nterface for {C}oupling {R}oad {T}raffic and {N}etwork {S}imulators},
3159
year = {2008},
3160
address = {New York, NY, USA},
3161
pages = {155--163},
3162
publisher = {ACM},
3163
series = {CNS '08},
3164
abstract = {Vehicular Ad-Hoc Networks (VANETs) enable communication among vehicles
3165
as well as between vehicles and roadside infrastructures. Currently
3166
available software tools for VANET research still lack the ability
3167
to asses the usability of vehicular applications. In this article,
3168
we present Traffic Control Interface (TraCI) a technique for interlinking
3169
road traffic and network simulators. It permits us to control the
3170
behavior of vehicles during simulation runtime, and consequently
3171
to better understand the influence of VANET applications on traffic
3172
patterns. In contrast to the existing approaches, i.e., generating
3173
mobility traces that are fed to a network simulator as static input
3174
files, the online coupling allows the adaptation of drivers' behavior
3175
during simulation runtime. This technique is not limited to a special
3176
traffic simulator or to a special network simulator. We introduce
3177
a general framework for controlling the mobility which is adaptable
3178
towards other research areas. We describe the basic concept, design
3179
decisions and the message format of this open-source architecture.
3180
Additionally, we provide implementations for non-commercial traffic
3181
and network simulators namely SUMO and ns2, respectively. This coupling
3182
enables for the first time systematic evaluations of VANET applications
3183
in realistic settings.},
3184
acmid = {1400740},
3185
affiliation = {EPFL},
3186
details = {http://infoscience.epfl.ch/record/115106},
3187
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}
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3806
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3807
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3809
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}
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3819
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3820
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}
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3830
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3831
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}
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3838
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3840
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3841
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3842
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3843
}
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3847
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3848
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3850
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3851
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3852
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3853
DOI = {10.1016/J.CITIES.2020.103064}
3854
}
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3858
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3859
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3860
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3861
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3862
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3863
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3864
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3865
}
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3869
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3870
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3871
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3872
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3873
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3874
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3875
}
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3879
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3880
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3881
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3882
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3883
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3884
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3885
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3886
}
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3890
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3891
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3893
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3894
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3895
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}
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3900
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3901
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3902
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3903
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3904
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3905
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3906
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3907
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3911
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3912
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3913
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3914
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3915
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3916
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3917
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3921
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3922
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3923
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3924
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3925
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3926
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3927
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3928
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3932
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3933
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3934
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3935
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3936
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3937
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3938
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3939
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3940
3941
3942
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