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.

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.sumocfg or run.sh from the scenario folder.

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

(click on the image for the video)

(click on the image for the video)

(click on the image for the video)

(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 

• 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).