Map matching algorithm based on shape descriptors using Zernike moments

Efficient and reliable map-matching algorithms are essential for intelligent traffic systems.The map matching algorithm based D-S evidence theory could effectively expand the credibility differences of the candidate routes through fusing the distance and direction information between vehicle and route.Whereas,the matching accuracy would decrease in complicated route network because of the lack of information.In order to improve the precision of map matching,this paper proposed a noval map matching algorithm based the shape descriptors using Zernike moments.The new algorithm employed Zernike moments to describe the shape of history positioning curves and modified those errors due to the lack of data.The results of simulation and experiment show the better efficiency and reliability of the estimates even for ambiguous environments.