基于OSM的浮动车轨迹数据校正方法

浮动车轨迹数据具有覆盖范围广、更新周期短、获取成本低等特点，对于地图的生产和更新具有重要意义，但是由于受到卫星信号被遮挡及多路径效应的影响，其精度普遍较低。本文采用一种基于OSM作为参考数据的方式对浮动车轨迹数据进行校正。首先通过一种分层时空地图匹配的方式将轨迹数据与OSM进行匹配；然后采用引力模型对数据进行校正；最后在武汉市出租车轨迹数据上进行了试验。结果表明，本文提出的数据校正方法可以有效地提高浮动车轨迹数据的精度。

A method of floating car data correction based on OSM

Floating car track data has great significance for the production and update of road map because of the wide coverage area, low cost and the short update cycle. However, compared to other data sources, the accuracy of it is low. This article adopts the OSM as reference data to correct the floating car track data. Firstly, the floating cat track data is matched with the OSM through a hierarchical space-time map matching algorithm. Then, an attraction model is used to correct the data. Finally, the taxs track data of Wuhan is used to verify the effectiveness of the algorithm. The result shows that the method in this paper could improve precision of floating car truck data.