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.
VANET distributed data fusion for traffic management
2019-10-01
949598 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Distributed Classification of Urban Congestion Using VANET
Online Contents | 2017
|Distributed Classification of Urban Congestion Using VANET
Online Contents | 2017
|