abrac/mostscenario

Monaco SUMO Traffic (MoST) Scenario

Monaco SUMO Traffic (MoST) Scenario

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

How To

MoST Scenario can be lunched directly with its configuration file.

• sumo -c most.sumocfg or run.sh from the scenario folder.

See tools HOWTO for further details on how to chance and rebuild the scenario.

Overview

Mobility Example

(click on the image for the video)

Traffic Light Example

(click on the image for the video)

Public Transportation Example

(click on the image for the video)

The master is tested with

Eclipse SUMO Version 1.3.1

(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:

Eclipse SUMO Version 1.2.0

(Build features: Linux-4.19.0-4-amd64 x86_64 GNU 8.3.0 Release Proj GUI GDAL FFmpeg OSG GL2PS SWIG)

Performance:
 Duration: 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

Eclipse SUMO Version 1.1.0

(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

Users

• 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).