路段旅行时间预测是智能交通系统的一项重要内容，预测效果直接关系到AT IS和ATMS等ITS相关子系统功能的有效发挥。
Link travel time prediction is an important part of the Intelligent Transportation system, forecasting results affect the function validity of ITS related subsystems (ATIS and ATMS etc) directly.
以往基于线圈等固定设备采集的数据预测路段旅行时间，采用路段上一个或几个断面的交通状况推断路段的交通状况，存在一定误差。
Methods based on data gathered from loop and other fixed equipments are using one or more profiles' traffic conditions to predict the whole road's traffic condition, there are some errors.
本文选取北京市北三环安装有微波检测器的路段作为实验路段，并利用视频识别技术采集路段的旅行时间数据对算法进行验证。
Video recognition technology is introduced into obtaining the travel time data, and this data is used to verify the algorithm. The results show that the error of the algorithm is around 10 percent.
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