testsuite.tools

# test output style options
# 
output-styles

# write stops that are found in the input
# 
stops

# 
# 
output-styles_pedestrians

# test loading data with multiple intervals
intervals

# sample routes by probabilites or counts
weighted

# make use of turn-ratios in addition to counts
ratios

# test option total-count
totalCount

# test origin destination inputs
OD

# load a custom  distribution for depart times
departtime_dist

# Use the input as a starting point for sampling
keep_input

# Use the input as a starting point for sampling and keep attributes
keep_input_attrs

# Use the input as a starting point for sampling (with multiple data intervals)
keep_input_intervals
verbose

# save configuration file
save_config

# save configuration file template
save_template

# using edgedata as input
edgedata

# read multiple attributes from the same edge
edgedata_entered_departed

# using edgedata as input to specify departure counts
edgedata_departures

# using edgedata as input to specify arrival counts
edgedata_arrivals

# load candidate routes from walk elements (needed for reverse walking)
walk_input

# using another GEH threshold
geh

# test additional vehicle attributes
attrs
mismatch-output

# change scaling for estimating hourly traffic
gehScale

# use linear programming to optimize route usage
optimize_full

# use linear programming to optimize route usage (limit 1)
optimize_1

# use linear programming to optimize route usage (limit 2)
optimize_2

# read routes that do not cover all detectors
# use linear programming to optimize route usage 
small_input_optimize

# read routes that do not cover all detectors.
# Skip the sampling step and direclty optimize input routes
# use linear programming to optimize route usage
small_input_noSampling_optimize

# input contains duplicate routes. optimize it.
small_input_duplicates_noSampling

# use linear programming to optimize route usage
# Many routes do not pass any counting locations and should not appear in the result
optimize_few_detectors

# use linear programming to optimize route usage , prefer fewer vehicles
optimize_minimize-vehs

# define multi-edge sequence restrictions
via

# define sequence restriction with gap
turn-max-gap

# set minimum number of visited counting locations per route
min_count
min_count2

# set minimum number of visited counting locations per route
min_count_optimize
errors