Affiliations: Université du Littoral Côte d'Opale, Maison de la recherche Blaise Pascal, Laboratoire d'Analyse des Systèmes du Littoral, (LASL-EA 2600), 50 rue Ferdinand Buisson, B.P. 699, 62228 Calais Cedex, France. Tel.: +33 (0) 3 21 46 06 85; Fax: +33 (0) 3 21 46 06 86; E-mail: [email protected]
Abstract: In general, navigation systems estimating a vehicle position is done either by using the Global Positioning System (GPS) or the Dead Reckoning (DR) systems. Other modern estimations are based on the combination of the two systems (GPS/DR). However, the position of a vehicle determined by GPS/DR is far from being perfect since it produces many errors. To solve this problem, a map-matching method is proposed in order to reduce the errors of localization caused by GPS/DR. This algorithm, which uses a digital road map, allows the detection of the correct road where a vehicle moves. In this paper, we introduce a new map-matching algorithm that employs the Transferable Belief Model (TBM). The TBM presents a general justification of belief theory and provides a flexible and adapted representation to manage uncertainty and imprecision. Experimental results show the effectiveness of the utilization of the TBM to the vehicle navigation system.
