通过对影响车载导航系统定位精度的各种GPS数据误差的分析,提出了在GSM-R (Global System for Mobile Communications Railway,铁路专用移动通信系统)场强监测系统中采用基于匹配相似度的地图匹配算法,该算法以GPS定位数据、精确的电子地图及相关路段的历史数据为基础,通过匹配过程确定车辆在电子地图上的最大可能位置,从而弥补了传统匹配算法计算量大以及匹配不准确的不足；最后,在模拟平台上进行了一系列测试,测试结果表明,该算法中的车辆定位和地图匹配精度明显提高,约达到95％.%According to the analysis of a variety of GPS data errors that impact the positioning accuracy of vehicle navigation system, this paper proposed the map-matching algorithm based on matching similarity in the field strength supervisory test system of GSM-R (Global System for Mobile Communications-Railway). This algorithm is based on GPS positioning data, accurate electronic map and historical data of related roads. By this matching process, it determines the most possible position in the electronic map. Thereby, improves the performance of traditional matching approaches that are computationally intensive and imprecise. Finally, the tests were given at a simulant platform, experimental results demonstrated that the precision of vehicle position and map-matching in this algorithm was significantly advanced and a-bout 95%.
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