Abstract

International audience; In this article, we propose a distributed fusion algorithm to detect traffic congestion through the exchange of messages in vehicle network. This algorithm is based on the Dempster-Shafer theory that manages the uncertainties on data and sources of information. Each vehicle updates its database with local measurements (speed and interdistance) and information received from other vehicles and can calculate its route. Thanks to the collaboration, smart cars can avoid congested roads and take a better path to their destination. Several variants of the algorithm are studied and compared to a centralized approach through experiments carried out on the SUMO simulator using real urban road networks.


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The different versions of the original document can be found in:

http://dx.doi.org/10.1109/itsc.2019.8917443
https://academic.microsoft.com/#/detail/2990021108
https://hal.archives-ouvertes.fr/hal-02446142/document,
https://hal.archives-ouvertes.fr/hal-02446142/file/papierITSC.pdf
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Published on 01/01/2019

Volume 2019, 2019
DOI: 10.1109/itsc.2019.8917443
Licence: CC BY-NC-SA license

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