Methods using belief functions to manage imperfect information concerning events on the road in VANETs |
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Institution: | 1. School of Electrical Engineering and Automation, Harbin Institute of Technology Harbin, 150001, China;2. State Grid Heilongjiang Electric Power company Limited, Electric Power Research Institute, Harbin 150030, China |
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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. |
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Keywords: | Vehicular Ad-hoc Networks (VANET) Theory of belief functions Transferable Belief Model (TBM) Events on the road Decentralized data fusion Imperfect information exchange |
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