文章编号：1672-5328（2008）01-0077-04

朱丽云 温慧敏 孙建平
（北京交通发展研究中心，北京 100055）

摘要：为应用于复杂城市路网的浮动车系统建设，提出了利用浮动车数据实时计算路网速度的系统建设流程，包括GPS数据接收、数据预处理、数据在电子路网底图上的匹配以及路段运行车速计算。并从数据过滤合理性、地图匹配效率、路网覆盖率及结果可信度等方面验证了该方法的可行性与实际效果。经验证，原始GPS数据经过预处理过滤后能显著提高点匹配率，而改进的路径匹配算法能使过滤后的数据达到95%左右的匹配率，基本覆盖大部分北京市快速路和主干路。

关键词：智能交通系统；浮动车；信息采集；信息处理；地图匹配

中图分类号：U491.1

文献标识码：A

Floating Car Based Real-Time-Traffic-Info Collection System in Beijing

Zhu Liyun, Wen Huimin and Sun Jianping
(Beijing Transportation Research Center, Beijing 100055, China)

Abstract: Based on actual floating car data, this paper puts forward a processing flow for the real-time floating car system applied to a complex urban road network, including GPS data receiving, data pre-processing, map-matching and section travel speed calculation. And a series of experiments are reported on to validate the feasibility and efficiency of the system from the aspects of data filtration rationality, map-matching efficiency, and road coverage and results reliability. The experiments show that the pre-filtration of GPS data can greatly increase point match rate, and the advanced route searching algorithm can achieve matching accuracy of about 95%. The result also shows that the GPS can cover almost all expressways and arterial routes in Beijing.

Keywords: Intelligent Transportation Systems(ITS); floating car; information collection; information proceeding; map matching