An Evaluation Method for the Estimated Travel Speed and Travel Time by Taxi Floating Car Data
An Evaluation Method for the Estimated Travel Speed and Travel Time by Taxi Floating Car Data
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DOI：
10.4028/www.scientific.net/amm.178-181.2805
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发表时间：
2012-05
期刊：
影响因子：
--
通讯作者：
H. Fu;L. Qu
中科院分区：
文献类型：
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作者：
H. Fu;L. Qu
浮动车数据（FCD，又称探测车，PV）系统是一种新型的基于交通中一定比例的车辆配备位置和数据通信设备，将经验交通流参数传输到交通信息中心的交通信息系统。然后利用这些大样本数据估计链路的运行状态。本文介绍了宁波市FCD系统的评价与分析方法。首先，采用数理统计的方法计算出一段道路上的最小探测车辆数；然后，从PV-GPS数据覆盖范围、覆盖路段平均探测车辆数等方面对原始GPS数据进行分析。基于最小探测车辆数量，可以对FCD系统的整体质量进行评价，并进行相应的改进。最后，通过独立车辆在具有多个交叉口的长环路上行驶的试驾，对所获得的交通状态信息进行验证。得出了有价值的结论，为进一步开发FCD系统提供了有价值的依据。
Floating car data (FCD, also called probe vehicle, PV) system is a new and based on a certain percentage of all vehicles in the traffic which are equipped with a location and data communication device transmitting experienced traffic flow parameters to a traffic information center. Then the link travel status can be estimated using these large sample dada. In this paper, an evaluation and analysis method for FCD system in Ningbo was introduced. Firstly, a mathematical statistical method is used to compute the minimum probe vehicles number on one segmental road. Then, the original GPS data was analyzed on several aspects, including PV-GPS data coverage and average probe vehicle number of covered links. Based on the minimum probe vehicles number, we can evaluate overall quality of FCD system and improve it accordingly. Finally, the obtained traffic state information was validated with test drives of independent vehicles driving on a long loop route with many intersections. A valuable conclusion is obtained, and would be a valuable basis for developing FCD system in the further work.