Abstract: Urban traffic situation information is the basis of effective traffic guidance and traffic control. It is usually expressed by average speed and average travel time of the vehicles on the road. Based on the error analysis of the algorithms based on average speed and average travel time, this paper promoted the urban traffic situation evaluation methods based on probe vehicle data. And experiments based on probe vehicle data provided by the taxi management system of Guangzhou, combined with vehicle license recognition and practical timing. The results proved that the method is quite effective and practical.

Key words: probe vehicle, urban traffic situation, average travel time, average speed

摘要： 城市道路交通运行状况信息（路况信息）的准确、实时的获取和处理是交通诱导、交通控制等应用的基础。而路况信息一般用路段平均通过时间和平均速度来表示。本文在分别对基于平均速度和基于平均通过时间的算法误差分析的基础上，提出了基于浮动车技术的城市路况计算方法。并利用广州市出租车综合管理系统提供的浮动车数据，结合车牌计时和跟车测试等实验对该方法的有效性进行了验证。实验结果表明本文所提出的方法是有效且实用的。

关键词: 城市路况, 浮动车, 平均速度, 行驶时间.