交通需求OD估计与预测的现状研究分析

目前，对于静态OD矩阵估计问题已经有很多研究者，对于动态OD前沿的研究工作则非常有限。关于对OD估计和预测的研究可分为封闭网络和开放网络。介绍了研究封闭网络的Bell，Van der Zijpp，Chang and Wu和Chang and Tao等人的方法，以及研究开放网络动态估计的3种方法，即Cascetta、Okutani、Ashok和Ben—Akiva等人的方法。并指出可以将OD估计问题陈述为具有不同误差特性、多个来源的不同类型信息的综合性和一致性的结合体，此联合估测就是经济计量学的混合估计的问题。

State-of-the-art in Estimation and Prediction of Traffic Demand Origin Destination Matrixes

At the present time, considerable attention has been paid to the static OD matrix estimation, while there is little work on the dynamic front. Research on dynamic estimation and prediction can be broadly categorized into two groups, that is, closed networks and open networks. Recent work for closed networks comes from Bell, van der Zijpp, Chang and Wu, and Chang and Tao. Only three approaches for dynamic estimation have been proposed for open networks, they are those by Cascetta, Okutani, Ashok, and Ben Akiva. It is pointed out that the OD estimation may be stated as the combination of reconciling information of different types with different error characteristics and from multiple sources, which is known as a mixed estimation in econometrics.