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地图匹配问题是浮动车技术中必须解决的关键问题。由于浮动车数据自身的特点，传统的导航地图匹配算法难以直接适用于大规模的浮动车数据匹配。本文在分析基于浮动车数据的地图匹配与传统的导航地图匹配的异同点的基础上，提出了浮动车地图匹配模型族的解决方案和相应的道路网格拓扑结构，设计了包括道路初次匹配模型、平行方向道路识别模型、节点匹配模型、延时匹配模型在内的浮动车数据地图匹配算法体系，并对算法进行了评估和验证。本文提出的浮动车数据地图匹配算法模型已经在广州市ITS示范工程中得到了实际应用，应用结果表明该算法具有准确、高效和实用的特点。

Map Matching Algorithm of Large Scale Probe Vehicle Data

Map matching is the key problem of probe vehicle technology.For the characteristics of probe vehicle data,traditional navigation map matching can not serve the requirements of probe vehicle data.Based on the common and different points between the map matching of traditional navigation and probe vehicle,the solution of probe vehicle map matching modes and corresponding road network structure have been proposed and the map matching algorithm system has also been promoted,including road first map matching mode,parallel reverse road map matching mode,node map matching mode and delay map matching mode.In addition,the algorithm has been verified and evaluated.The map matching algorithm promoted in the paper has been applied in the ITS demonstration project of Guangzhou and the practice has proved that it is quite effective and practical.