节点文献
基于长间隔大规模数据的地图匹配算法研究
A Map Matching Algorithm for Public Traffic Control Center Based on Long Space and Limited GPS Data
【摘要】 随着GPS定位技术应用的日益推广,GPS技术被大量应用于公交车辆及出租车辆的定位与预测。公共交通调度中心的数据量和处理负荷将变得非常巨大,而且租用电信无线网络的费用也很高。如何使用尽可能少的数据得到比较好的定位信息和节约计算资源就成为我们面对的一个重要课题。针对杭州交通调度中心的出租车和公交车的大间隔定位信息,本文提出了一种将基于权值,道路拓扑和最优路径选择相结合的综合地图匹配算法,并应用于实际,取得了很好的效果。
【Abstract】 With the development of GPS, the technology of GPS is widely used in public traffic. If we sample the data as one second per time as usual, the public traffic control center must process a lot of data and bear the heavy financial burden of hiring wireless network. How to get the accurate position information with less data and less calculating resource has become a problem that we must solve. The author puts forward a synthetical map matching algorithm, which is based on the weight, topology, optimization theories and aiming at theorientation of the taxi and bus in Hangzhou traffic control center. Application showed that it is effective.
【Key words】 Urban traffic; map matching; long space data; GPS; GIS;
- 【文献出处】 交通运输工程与信息学报 ,Journal of Transportation Engineering and Information , 编辑部邮箱 ,2007年02期
- 【分类号】U491
- 【被引频次】15
- 【下载频次】194