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为解决城市道路交通问题,文章以上海市一定时间内浮动车数据为例,采用具有拓扑关系的上海市道路地图,通过matlab模块化编程进行地图匹配,并对匹配结果进行城市道路交通运行态势识别,在基于实际距离的基础上,提出了优化算法,结果表明采取matlab进行地图匹配具有精度高,时间短,易优化等优点;使用浮动车采集技术进行城市道路交通运行态势识别,具有良好的代表性、拓展性和可操作性,较为精确算出了路段平均速度,提高了可靠性。
In order to solve the problem of urban road traffic, taking the floating car data in Shanghai for a certain period of time as an example, this paper uses the Shanghai road map with topological relations to map by matlab modular programming, and identifies the matching results of urban road traffic situation , Based on the actual distance, put forward the optimization algorithm, the results show that the use of matlab map matching has the advantages of high precision, short time, easy to optimize; using the floating car collection technology for urban road traffic situation identification, has a good representative Sexual, expandability and maneuverability, more accurately calculate the average speed of the road, improve the reliability.