createVehTypeDistribution.py#
Creates a vehicle type distribution by sampling from configurable value
distributions for the desired vType-parameters.
Example use
<SUMO_HOME>/tools/createVehTypeDistribution.py config.txt
The only required parameter is the configuration file in the format shown below (example config.txt):
tau; normal(0.8,0.1)
sigma; normal(0.5,0.2)
length; normal(4.9,0.2); [3.5,5.5]
param; myCustomParameter; normal(5, 2); [0, 12]
vClass; passenger
carFollowModel; Krauss
In the config file, one line is used per vehicle type attribute. The syntax is: [param; ] <AtrributeOrParameterName>; <ValueOrDistribution> [; <limits>]
If the prefix param is given at the beginning of a line, it is assumed
that the values of a vehicle parameter (given as a param child
element of the vehicle element) are to be sampled. Otherwise, values
of an attribute of the vehicle element are sampled.
ValueOrDistribution can be a string, a scalar value or a distribution
definition. Available distributions and its syntax are:
- "normal(mu,sd)" with mu and sd being floating numbers: Normal distribution with mean mu and standard deviation sd.
- "normalCapped(mu, sd, min, max)" By default, no negative values are accepted but may be enabled by setting a negative lower limit.
- "lognormal(mu,sd)" with mu and sd being floating numbers: Normal distribution with mean mu and standard deviation sd.
- "uniform(a,b)" with limits a and b being floating numbers: Uniform distribution between a and b.
- "gamma(alpha,beta)" with parameters alpha and beta: Gamma distribution.
Additional options:
- --output-file configures the name of the output file to be written
- --name Name of the created distribution
- --size Number of s to be sampled for filling the distribution
- --seed Set the seed for the random number generator
Retrieving parameters from measurements of individual vehicles#
To obtain mean and deviation a number of values must be obtained from the data set. The following is recommenced:
- accel: the maximum (or high percentile) acceleration for each vehicle
- deccel: the maximum (or high percentile) deceleration for each vehicle
- speedFactor: the maximum (or high percentile) quotient of speed/speedLimit for each vehicle
extractTest.py#
This scripts extracts test scenarios if you like to run a simulation scenario which is included in the test folder
generateParkingLots.py#
This script generates parking lots.
Example use
<SUMO_HOME>/tools/generateParkingLots.py -b <xmin, ymin, xmax, ymax> -c <connecting edge>
[-i <parking-id> -n <number of parking spaces> -l <space-length> -a <space-angle> ...]
or
<SUMO_HOME>/tools/generateParkingLots.py -x <x-pos> -y <y-pos> -c <connecting edge>
[-i <parking-id> -n <number of parking spaces> -l <space-length> -a <space-angle> ...]
The required parameter are the shape (--bounding-box) or the position (--x-axis and --y-axis) of the parking lot and the connecting edge (--connecting-edge). More options can be obtained by calling <SUMO_HOME>/tools/generateParkingLots.py --help.
Additional options:
- --parking-id defines the name/id of the parking lot
- --parking-spaces defines the number of the parking spaces
- --start-position defines the begin position of the entrance/exit of the parking lot
- --end-position defines the end position of the entrance/exit of the parking lot
- --space-length defines the length of each parking space
- --space-angle defines the angle of the parking spaces
- --x-space-distance defines the lateral distance (x-direction) between the locations of two parking spaces
- --y-space-distance defines the longitudinal distance (y-direction) between the locations of two parking spaces
- --rotation-degree defines the rotation degree of the parking lot
- --adjustrate-x defines the modification rate of x-axis if the rotation exists
- --adjustrate-y defines the modification rate of y-axis if the rotation exists
- --output-suffix output suffix
- --fullname full name of parking area
- --verbose tell me what you are doing
generateStationEdges.py#
This script generates a pedestrian edge for each public transport stop (in the form of .nod.xml and .edg.xml files. The output is suitable for extending rail-only networks with the bare minimum of pedestrian infrastructure for departing, changing trains and arriving.
Example use
python <SUMO_HOME>/tools/generateStationEdges.py rail.net.xml stops.xml
netconvert -s rail.net.xml -e stops.access.edg.xml -n stops.access.nod.xml --ptstop-files stops.xml -o railForPersons.net.xml --ptstop-output stopsWithAccess.xml
generateContinuousRerouters.py#
This script generates rerouter definitions for a continuously running simulation. Rerouters are placed ahead of each intersection with routes leading up to the next intersection and configurable turning ratios. Vehicles that enter the simulation will circulate continuously (unless hitting a dead-end).
Example use
python <SUMO_HOME>/tools/generateContinuousRerouters.py -n net.net.xml -o rerouter.add.xml
averageRuns.py#
This script runs a given sumo configuration multiple times with different random seeds and averages trip statistics.
Example use
python <SUMO_HOME>/tools/averageRuns.py example.sumocfg -n 100
tileGet.py#
This script retrieves background images from ESRI ArcGIS tile servers and other imaging APIs such as Google Maps and MapQuest. The simplest usage is to call it with a SUMO network file only. It will generate a settings file containing the coordinates which can be loaded with sumo-gui or netedit. The most useful options are -t for the (maximum) number of tiles to retrieve and -u to give the URL of the tile server.
Example use (retrieving data from the public ArcGIS online instance)
python <SUMO_HOME>/tools/tileGet.py -n test.net.xml -t 10
sumo-gui -n test.net.xml -g settings.xml
Retrieving satellite data from Google or MapQuest (Requires obtaining an API-key first):
python <SUMO_HOME>/tools/tileGet.py -n test.net.xml -t 10 --url maps.googleapis.com/maps/api/staticmap --key YOURKEY
python <SUMO_HOME>/tools/tileGet.py -n test.net.xml -t 10 --url open.mapquestapi.com/staticmap/v4/getmap --key YOURKEY