output.tools

Simulation parameters:
  end: 600.0
  interval: 30
  time_limit: 10
  cost_type: CostType.DISTANCE
  drf: 3.0
  waiting_time: 300.0
  fix_allocation: True
timestep: 0.0
Reservations waiting: ['0', '1']
Taxis empty: ('v0',)
Solve CPDP
Start creating the model.
dp reservations: ['0', '1']
do reservations: []
Reservation 0 starts at edge B0C0
Reservation 1 starts at edge C2C1
Reservation 0 ends at edge C1C2
Reservation 1 ends at edge C0B0
Reservation 0 has direct route costs 485
Reservation 1 has direct route costs 480
Penalty factor is 2000
Start solving the problem.
 Register distance callback.
 Create time dimension.
 Add distance constraints...
 Add pickup and delivery constraints...
pickup/dropoff nodes: 1/2
allow to reject new reservation 0
pickup/dropoff nodes: 3/4
allow to reject new reservation 1
 Add direct route factor constraints...
reservation 0: direct route cost 485 and (hard) max cost 1455
reservation 1: direct route cost 480 and (hard) max cost 1440
 Add dropoff constraints...
 Add "no re-allocation" constraints...
 Add capacity constraints...
 Add time windows constraints...
hard time window for node 1: [1, 600]
hard time window for node 2: [1, 600]
hard time window for node 3: [1, 600]
hard time window for node 4: [1, 600]
hard time window for node 5: [1, 600]
 Add waiting time constraints...
reservation 0 has a maximum (hard) pickup time at 300
reservation 1 has a maximum (hard) pickup time at 300
## Done
 Set solution heuristic...
Start solving the problem.
Objective: 1729
Route for vehicle 0:
     5 (L: 0, C: 0, T: (1,140))
 ->  1 (L: 1, C: 588, T: (43,182))
 ->  2 (L: 0, C: 1073, T: (142,281))
 ->  3 (L: 1, C: 1249, T: (161,300))
 ->  4 (L: 0, C: 1729, T: (258,600))
 ->  0 (L: 0, C: 1729, T: (258,600))
Costs of the route: 1729

Total cost of the routes: 1729
Start interpreting the solution for SUMO.
Dispatching v0 with ['0', '0', '1', '1']
Costs for v0: 1729
timestep: 30.0
Reservations being picked up: ['0', '1']
Taxis picking up: ('v0',)
timestep: 60.0
Reservations being picked up: ['1']
Reservations en route: ['0']
Taxis picking up: ('v0',)
Taxis occupied: ('v0',)
Taxis occupied and picking up: ('v0',)
timestep: 90.0
Reservations being picked up: ['1']
Reservations en route: ['0']
Taxis picking up: ('v0',)
Taxis occupied: ('v0',)
Taxis occupied and picking up: ('v0',)
timestep: 120.0
Reservations being picked up: ['1']
Reservations en route: ['0']
Taxis picking up: ('v0',)
Taxis occupied: ('v0',)
Taxis occupied and picking up: ('v0',)
timestep: 150.0
Reservations en route: ['1']
Taxis occupied: ('v0',)
timestep: 180.0
Reservations en route: ['1']
Taxis occupied: ('v0',)
timestep: 210.0
Reservations en route: ['1']
Taxis occupied: ('v0',)
timestep: 240.0
Reservations en route: ['1']
Taxis occupied: ('v0',)
timestep: 270.0
Taxis empty: ('v0',)
timestep: 300.0
Taxis empty: ('v0',)
timestep: 330.0
Taxis empty: ('v0',)
timestep: 360.0
Taxis empty: ('v0',)
timestep: 390.0
Taxis empty: ('v0',)
timestep: 420.0
Taxis empty: ('v0',)
timestep: 450.0
Taxis empty: ('v0',)
timestep: 480.0
Taxis empty: ('v0',)
timestep: 510.0
Taxis empty: ('v0',)
timestep: 540.0
Taxis empty: ('v0',)
timestep: 570.0
Taxis empty: ('v0',)
timestep: 600.0
Taxis empty: ('v0',)