【作者】 扈中伟； 温慧敏； 孙建平； 陈锋；

【Author】 Hu Zhongwei Wen Huimin Sun Jianping Chen Feng (Beijing Transportation Research Center, Beijing, 100055,China)

【机构】 北京交通发展研究中心；

【摘要】 作为一种先进、经济的交通数据采集手段,浮动车交通信息系统得到越来越多的关注,成为智能交通技术的一个亮点。浮动车系统得到的路段速度对于交通流整体的代表性,及其与其他检测方式获得的速度之间的误差关系,是推广和应用浮动车系统,检验浮动车系统核心处理算法,以及多源交通信息融合和利用的基础和前提。本文利用车牌照识别、微波等固定检测技术,深入研究了城市快速路上的浮动车——出租车与社会普通车辆行驶特性的关系,并对比分析了浮动车系统计算得到的旅行速度与车牌照识别、微波检测器检测得到的速度间的差异和关系。结果表明,在满足一定样本量的条件下,城市快速路上浮动车系统能够很好地代表社会普通车辆,反映道路交通的整体状况;浮动车系统计算得到的速度与检测得到的速度误差保持在稳定的较小范围内,浮动车系统获得的旅行速度数据具有较高精度,是一种实用价值很高的新型交通信息采集技术。更多还原

【Abstract】 As an advanced traffic data collection technology, Floating Car Data System (FCDS) has been paid more and more attention and becomes an innovative Intelligent Transportation Systems (ITS) technology. The representativeness of the whole traffic flow and the data difference compared with fixed detectors are the basic issues to widely use FCDS, evaluate the key processing algorithm of FCDS and fuse multi-source traffic data. Based on the data from Vehicle License Plate Recognition system and microwave detector system, the representativeness of one kind of floating car which is taxi and link speed errors among different methods are compared on Beijing urban expressways. Results show that taxi running characteristics are almost same to normal vehicles on the urban expressways. Floating car data could reflect whole traffic flow status. In addition, the link travel speeds derived from FCDS are compared with other fixed detectors. The relative errors are stable, which indicates that FCDS is a good new method to collect travel-based data compensating the point data from fixed detector.更多还原