Methods using belief functions to manage imperfect information concerning events on the road in VANETs - Université d'Artois Access content directly
Journal Articles Transportation research. Part C, Emerging technologies Year : 2016

Methods using belief functions to manage imperfect information concerning events on the road in VANETs

Abstract

Different models using belief functions are proposed and compared in this article to share and manage imperfect information about events on the road in vehicular networks. In an environment without infrastructure, the goal is to provide to driver the synthesis of the situation on the road from all acquired information. Different strategies are considered: discount or reinforce towards the absence of the event to take into account messages agings, keep the original messages or only the fusion results in vehicles databases, consider the world update, manage the spatiality of traffic jams by taking into account neighborhood. Methods are tested and compared using a Matlab TM simulator. Two strategies are introduced to tackle fog blankets spatiality; they are compared through an example.
Fichier principal
Vignette du fichier
2016_TRpartC_BouFarahETAl.pdf (1 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03727894 , version 1 (19-07-2022)

Identifiers

Cite

Mira Bou Farah, David Mercier, François Delmotte, Éric Lefèvre. Methods using belief functions to manage imperfect information concerning events on the road in VANETs. Transportation research. Part C, Emerging technologies, 2016, 67, pp.299-320. ⟨10.1016/j.trc.2016.02.014⟩. ⟨hal-03727894⟩

Collections

UNIV-ARTOIS LGI2A
8 View
13 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More