VANET distributed data fusion for traffic management

Romain Guyard (1, 2) , Véronique Cherfaoui (1, 2)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]
2 Labex MS2T - Laboratoire d'Excellence "Maîtrise des Systèmes de Systèmes Technologiques"

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.

Domaines: Automatique / Robotique

Romain Guyard, Véronique Cherfaoui. VANET distributed data fusion for traffic management. 22nd IEEE International Conference on Intelligent Transportation Systems (ITSC 2019), Oct 2019, Auckland, New Zealand. pp.1851-1856, ⟨10.1109/ITSC.2019.8917443⟩. ⟨hal-02446142⟩