/MoSTScenario

Monaco SUMO Traffic (MoST) Scenario

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Monaco SUMO Traffic (MoST) Scenario

Contacts: Lara CODECA [lara.codeca@gmail.com], Jerome HAERRI [haerri@eurecom.fr]

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 SUMO 1.14.0
  • 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

MoST Scenario Overview

Mobility Example

Mobility Example (click on the image for the video)

Traffic Light Example

Traffic Light Example (click on the image for the video)

Public Transportation Example

Public Transportation Example (click on the image for the video)

The master is tested with Eclipse SUMO Version 1.14.0

(Build features: Darwin-21.5.0 arm64 Clang 13.1.6.13160021 Release FMI Proj GUI SWIG GDAL FFmpeg OSG GL2PS)

Performance: 
Performance:
 Duration: 3407.14s
 Real time factor: 10.566
 UPS: 352602.634584
 UPS-Persons: 49427.018430
Vehicles:
 Inserted: 46842
 Running: 31
 Waiting: 0
Teleports: 99 (Jam: 29, Yield: 55, Wrong Lane: 15)
Emergency Stops: 6
Persons:
 Inserted: 45000
 Running: 26
 Jammed: 3865
Statistics (avg of 43356):
 RouteLength: 7217.10
 Speed: 6.98
 Duration: 6892.62
 WaitingTime: 52.51
 TimeLoss: 148.27
Bike Statistics (avg of 3455):
 RouteLength: 1876.49
 Speed: 4.53
 Duration: 428.03
 WaitingTime: 35.13
 TimeLoss: 64.48
Statistics (avg of 46811):
 DepartDelay: 0.37
Pedestrian Statistics (avg of 31421 walks):
 RouteLength: 451.37
 Duration: 387.66
 TimeLoss: 58.73
Ride Statistics (avg of 45216 rides):
 WaitingTime: 40.07
 RouteLength: 6058.59
 Duration: 609.21
 Bus: 5967
 Bike: 3455

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 lara.codeca@gmail.com with your name and affiliation (if any).