A map-matching algorithm based on multi-criteria fusion using belief theory
Kai Cao · Cehui kexue · 2009
In this paper,a novel map-matching algorithm based on multi-criteria fusion using belief theory was proposed,which provided a synthetic evaluation for the results of road selection in road matching.Firstly,a proximity criterion and an angular criterion were established on current information in vehicle navigation,and a historical trajectory proximity criterion was put forward according to historical information.The road selection strategy then was employed based on multi-criteria fusion by using D-S evidence theory.Finally,the accuracy of matching results was improved by taking account of connection criterion.Simulation results demonstrate that the proposed algorithm is effective and can recognize the road on which the vehicle is running in simple and complicated road network.