Contacts: Lara CODECA [[email protected]], Jerome HAERRI [[email protected]]
This project is licensed under the terms of the GPLv3 license.
MoST Scenario is meant to be used with SUMO (Simulator of Urban MObility).
- The master is tested with the development version of SUMO
- The released versions have been tested with SUMO 1.0.1, SUMO 1.1.0, and SUMO 1.2.0.
- In case there are problems with multi-threading, check that Issue #4518 has been solved in your target version.
Please refer to the SUMO wiki for further information on the simulator itself.
How to cite it: BibTeX
L. Codeca, J. Härri, "Towards Multimodal Mobility Simulation of C-ITS: The Monaco SUMO Traffic Scenario" VNC 2017, IEEE Vehicular Networking Conference November 27-29, 2017, Torino, Italy.
or
L. Codeca, J. Härri, "Monaco SUMO Traffic (MoST) Scenario: A 3D Mobility Scenario for Cooperative ITS" SUMO 2018, SUMO User Conference, Simulating Autonomous and Intermodal Transport Systems May 14-16, 2018, Berlin, Germany
MoST Scenario can be lunched directly with its configuration file.
sumo -c most.sumocfgorrun.shfrom the scenario folder.
See tools HOWTO for further details on how to chance and rebuild the scenario.
(Build features: Linux-5.0.0-25-generic x86_64 GNU 8.3.0 Release Proj GUI GDAL FFmpeg GL2PS SWIG)
Performance:
Duration: 3614643ms
Real time factor: 9.95949
UPS: 335528.498942
Vehicles:
Inserted: 46842
Running: 31
Waiting: 0
Teleports: 733 (Jam: 322, Yield: 286, Wrong Lane: 125)
Emergency Stops: 11
Persons:
Inserted: 45000
Running: 25
Jammed: 1378
Statistics (avg):
RouteLength: 6962.24
Duration: 6476.63
WaitingTime: 101.71
TimeLoss: 232.06
DepartDelay: 0.81
Pedestrian Statistics (avg of 31422 walks):
RouteLength: 452.56
Duration: 384.19
TimeLoss: 54.32
Ride Statistics (avg of 45217 rides):
WaitingTime: 45.33
RouteLength: 6184.19
Duration: 709.95
Bus: 5967
Train: 0
Bike: 3455
Aborted: 0
Release v0.6 is tested with:
(Build features: Linux-4.19.0-4-amd64 x86_64 GNU 8.3.0 Release Proj GUI GDAL FFmpeg OSG GL2PS SWIG)
Performance:
Duration: 8071937ms
Real time factor: 4.4599
UPS: 151124.323691
Vehicles:
Inserted: 46809 (Loaded: 46810)
Running: 31
Waiting: 0
Teleports: 1151 (Jam: 462, Yield: 504, Wrong Lane: 185)
Emergency Stops: 6
Persons:
Inserted: 45000
Running: 0
Jammed: 1260
Statistics (avg):
RouteLength: ... TBD
Duration: 6518.88
WaitingTime: 130.35
TimeLoss: 268.94
DepartDelay: 0.83
Pedestrian Statistics (avg of 31495 walks):
RouteLength: 447.76
Duration: 381.52
TimeLoss: 54.46
Ride Statistics (avg of 45362 rides):
WaitingTime: 50.99
RouteLength: 6237.22
Duration: 750.87
Bus: 6131
Train: 1
Bike: 3395
Aborted: 0
(Build features: Linux-4.19.0-4-amd64 x86_64 GNU 8.3.0 Release Proj GUI GDAL FFmpeg OSG GL2PS SWIG)
Performance:
Duration: 7509321ms
Real time factor: 4.79404
UPS: 162345.771475
Vehicles:
Inserted: 46810
Running: 31
Waiting: 0
Teleports: 566 (Jam: 182, Yield: 275, Wrong Lane: 109)
Emergency Stops: 12
Persons:
Inserted: 45000
Running: 0
Jammed: 793
Statistics (avg):
RouteLength: 7474.31
Duration: 6514.68
WaitingTime: 85.81
TimeLoss: 217.45
DepartDelay: 0.57
Pedestrian Statistics (avg of 31495 walks):
RouteLength: 342.99
Duration: 292.18
TimeLoss: 41.27
Ride Statistics (avg of 45362 rides):
WaitingTime: 48.07
RouteLength: 6640.66
Duration: 735.61
Bus: 6131
Train: 1
Bike: 3395
Aborted: 0
- Vincent Terrier, Aerospace System Design Laboratory, Georgia Institute of Technology, Atlanta, GA 30332-0105
- Tianshu Chu, Civil and Environmental Engineering, Stanford University
If you are using MoST Scenario, or its tools to generate a new one, we would gladly add you to the list. You can send an e-mail to [email protected] with your name and affiliation (if any).