OSM/高德路网匹配融合技术在道路空间化中的应用

Application of technology of OSM/Gaode road network’s matching and fusion in road spatialization

"六合一"道路编码是交管业务中用来定位事故和违法的基础文本数据,缺乏空间位置信息,而已有的常用路网数据如高德路网,都是基于多车道路段表达的路网且现势性相对于OSM(Open Street Map)路网较低,难以满足交管业务的需求。针对上述问题,以高德路网作为基础、高现势性的OSM路网作补充,将轨迹聚类分析中的LCSS(longest common subsequence)算法应用在路网匹配过程中,并对匹配后的路网使用Stroke方法进行路网融合。实验结果表明,使用LCSS算法可以达到良好的路网匹配效果。最后基于此开发了一套路网匹配融合程序,并在武汉市交通管理局投入使用。

The"six-in-one"road code is the basic text data,which used to locate accidents and violations in the traffic management business,it lacks spatial information. However,The existing road network data in common use,such as Gaode road network,is a kind of road network where one complete road is expressed by multiple road sections. Gaode road network’currency is relatively low compared to the OSM( Open Street Map) road network and it is hard to meet the demand for traffic management business. In order to solve the problems as above,this paper used Gaode road network as a basis and a high-currency OSM road network as a complement. It applied LCSS( longest common subsequence) algorithm commonly used in trajectory clustering to road matching,then applied the Stroke method in the road network fusion after the road network matching. The experiment results show that LCSS algorithm has a good effect in road network’s matching. Finally,based on this,it developed a road network’s matching and fusion program,which applied in the Wuhan Traffic Management Bureau.