Authors:
Khalid Touil
;
Mourad Zribi
and
Mohammed Benjelloun
Affiliation:
Université du Littoral Côte d’Opale, Maison de la recherche Blaise Pascal, Laboratoire d’Analyse des Systèmes du Littoral, (LASL-EA 2600), France
Keyword(s):
Global Positioning System, Dead Reckoning, a map-matching method, Transferable Belief Model.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Intelligent Transportation Technologies and Systems
;
Robotics and Automation
;
Vehicle Control Applications
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 for the measured beliefs. Experimental results show the effectiveness of the utilization of the TBM to the vehicle navigation system.