Building a real-world traffic micro-simulation scenario from scratch with SUMO

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DOI:

https://doi.org/10.52825/scp.v3i.109

Abstract

Simulation of Urban Mobility (SUMO) is a powerful traffic simulation program which can work at different scales, from sub-microscopic to macroscopic. Depending on the available input dataset, it is possible to build lots of different configurations, changing routing and car-follow algorithms, and many parameters. Building a basic SUMO scenario is a multi-step activity involving the followings: preparing the transportation network, traffic definition, setting a routing algorithm, and running the simulation. The aim of the present work is to show a detailed real case study explaining how to build a complete scenario and run simulations, starting from the preparation of the network from Open Street Map. The last part of the present paper is about how to use the SUMO output files with MongoDB in order to keep track of significant information resulting from each simulation.

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References

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Web references

SUMO, Simulation of Urban MObility, http://sumo.dlr.de/userdoc/, accessed on 9 February 2022

Sumo source code https://github.com/eclipse/sumo

SUMO whole cities scenarios https://sumo.dlr.de/docs/Data/Scenarios.html

Sumo docs: Including elevation data in a network https://sumo.dlr.de/docs/Networks/Elevation.html

sumo car-following-models https://sumo.dlr.de/docs/Definition_of_Vehicles%2C_Vehicle_Types%2C_and_Routes.html#car-following_models

sumopy documentation https://sumo.dlr.de/docs/Contributed/SUMOPy.html

sumopy code on github https://github.com/schwoz/sumopy

mongo db https://mongodb.com

Cover image of SUMO Conf. Proc. 3 (2022)

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Published

2022-09-29

How to Cite

Clemente, M. L. (2022). Building a real-world traffic micro-simulation scenario from scratch with SUMO. SUMO Conference Proceedings, 3, 215–230. https://doi.org/10.52825/scp.v3i.109

Conference Proceedings Volume

Vol. 3 (2022): SUMO User Conference 2022

Section

Conference papers

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Copyright (c) 2022 Maria Laura Clemente

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

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