基于融合函数构建的GPS车辆轨迹地图匹配算法

GPS Vehicle Track Map Matching Algorithm Based on Fusion Function

针对道路交通网络实际情况,提出一种基于融合函数构建的地图匹配算法.该算法融合了车辆导航系统中距离、航向差及路网拓扑结构等重要因素,通过自适应判断步骤对车辆定位信息进行处理.选取南京市出租车GPS样例进行验证,结果表明该算法能适应不同的路网情况,实时性强和匹配精确度高.

A map matching algorithm based on fusion function is proposed in view of the actual situation of road traffic network, which integrates important factors such as distance, course difference and road network topology in the vehicle navigation system and processes the vehicle positioning information through adaptive judgment steps. GPS samples of taxies in Nanjing are selected to verify. The results show that this algorithm can adapt to different road network situations and has the characteristics of strong real-time ability and high matching accuracy.