A comparison of SUMO's count based and countless demand generation tools
DOI:
https://doi.org/10.52825/scp.v2i.107Keywords:
traffic simulation, demand, traffic countsAbstract
There are already several tools available to generate traffic demand for the microscopic simulation suite SUMO. This paper focuses on setting up a simulation scenario for the peak hour in a small conurbation when there are vehicle counts available for the major streets. We describe tools which are part of SUMO or available as open source and compare their results with the real traffic counts as well as with the outcome of countless demand generation.
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References
SUMO scenarios. https://github.com/DLR-TS/sumo-scenarios. Accessed: 2022-06-17.
P. Alvarez Lopez, M. Behrisch, L. Bieker-Walz, J. Erdmann, Y. Flötteröd, R. Hilbrich, L. Lücken, J. Rummel, P. Wagner, and E. Wießner. Microscopic traffic simulation using sumo. In The 21st IEEE International Conference on Intelligent Transportation Systems. IEEE, 2018.
Dieter Lohse and Werner Schnabel. Grundlagen der Straßenverkehrstechnik und der Verkehrsplanung: Band 2-Verkehrsplanung. Beuth Verlag, 2011.
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Copyright (c) 2022 Michael Behrisch, Pauline Hartwig
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
