A Multi-Weights Map Matching algorithm used in GPS system for vehicle navigation application

Map Matching (MM) is an important part of Intelligent Transportation System (ITS). GPS fusing electronic map model is frequently used for vehicle navigation application. While most of the existing solutions fail to provide trustworthy trajectory when the situation is ambiguous (U-turn, road intersections ...). Azimuth Angle of GPS point (AZP) started to be utilized as a new feature in Map Matching. This method can enhance the matching accuracy of GPS points around the intersections. This paper proposes an improved Map Matching algorithm based on Multi-Weights. Through integrating these Multi-Weights to search the optimal road among many candidates for GPS point. The navigation solution was tested in urban area by mounting the navigation system on a land vehicle. The assessment of the Multi-Weights algorithm is based on comparing the trajectory after Map Matching with the GPS-Only trajectory and the reference trajectory, obtained with higher grade sensors, through which the proposed algorithm provides a significant enhancement in the positional accuracy.