Vehicle tracking algorithm based on GPS and map-matching

Guixia Guan; Lei Yan; Jiabin Chen; Taixia Wu

doi:10.1117/12.806874

13 October 2008 Vehicle tracking algorithm based on GPS and map-matching

Guixia Guan, Lei Yan, Jiabin Chen, Taixia Wu

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 71282F (2008) https://doi.org/10.1117/12.806874
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

In the land vehicle positioning and tracking system, the vehicle moving route is sometimes positioned outside the vehicle running road because of the GPS positioning errors. It may cause the tracking system unavailable. In order to improve the positioning accuracy of vehicle tracking system, a current statistical model is employed as the vehicle moving model. At the same time, the map-matching algorithm with the nearest location and the suitable moving angle is proposed to amend GPS measured data. The algorithm can determine the best matching road by making full use of the road geographic information of electronic map. Simulation results show that the vehicle tracking system has high positioning accuracy besides the navigation function.

Citation Download Citation

Guixia Guan, Lei Yan, Jiabin Chen, and Taixia Wu "Vehicle tracking algorithm based on GPS and map-matching", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71282F (13 October 2008); https://doi.org/10.1117/12.806874

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