行程时间预测是交通流诱导系统研究的一项重要内容．在分析各种行程时间预测方法的基础上，本文利用卡尔曼滤波理论建立了行程时间预测模型， 利用实测的交通流量预测几个时段后的路段行程时间， 进而预测路径行程时间．文中利用三种方法预测行程时间并对结果进行了分析

Travel time estimation is an important aspect for the traffic flow guidance system. In this paper, based on analysing several methods to estimate the travel time ,we apply Kalman filtering to establish a new model, which can predict the travel time using detected traffic volume on the basic link in the urban transportation networks. In the meantime, we also briefly discuss the prediction results.