Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6936433 | Transportation Research Part C: Emerging Technologies | 2016 | 22 Pages |
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⢠simulator. Two strategies are introduced to tackle fog blankets spatiality; they are compared through an example.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Mira Bou Farah, David Mercier, François Delmotte, Ãric Lefèvre,