Methods using belief functions to manage imperfect information concerning events on the road in VANETs
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 drivers 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.
- Record URL:
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
-
Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
-
Authors:
- Bou Farah, Mira
- Mercier, David
- Delmotte, François
- Lefèvre, Éric
- Publication Date: 2016-6
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 299-320
-
Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 67
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Advanced traveler information systems; Data fusion; Incident management; Information dissemination; Mobile communication systems; Uncertainty; Vehicular ad hoc networks
- Uncontrolled Terms: Beliefs
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01601142
- Record Type: Publication
- Files: TRIS
- Created Date: May 31 2016 9:24AM