@inproceedings{2c8ebf467ab2446ab92af2e7e1347a88,
title = "Vehicle tracking algorithm based on GPS and map-matching",
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.",
keywords = "Current statistical model, GPS positioning, Map-matching algorithm, Vehicle tracking system",
author = "Guixia Guan and Lei Yan and Jiabin Chen and Taixia Wu",
year = "2008",
doi = "10.1117/12.806874",
language = "English",
isbn = "9780819473622",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Seventh International Symposium on Instrumentation and Control Technology",
note = "7th International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment ; Conference date: 10-10-2008 Through 13-10-2008",
}