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Origin-Destination Demands Estimation in Congested Dynamic Transit Networks

机译：拥挤动态公交网络中的始发目的地需求估计

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摘要

This paper investigates the problem of estimation of time-dependent passenger origin-destination (OD) matrices in congested transit networks where real-time updated passenger counts and prior OD matrices are available. A bilevel programming model is proposed for the dynamic estimation of passenger OD matrix. The upper level minimizes the sum of error measurements in dynamic passenger counts and time-dependent OD matrices, and the lower level is a new schedule-based dynamic transit assignment model that can determine simultaneously the dynamic average travel costs and route choices of passengers in congested transit networks. The lower-level problem can be formulated as a variational inequality problem. A heuristic solution algorithm is adapted for solving the proposed bilevel programming model. Finally, a numerical example is used to illustrate the applications of the proposed model and solution algorithm.
机译：本文研究了拥挤的公交网络中随时间变化的乘客始发地（OD）矩阵的估计问题，在拥挤的公交网络中，实时更新的乘客数量和先前的OD矩阵可用。针对乘客OD矩阵的动态估计，提出了一种双层规划模型。较高的级别将动态乘客计数和与时间相关的OD矩阵中的误差测量值的总和最小化，较低的级别是基于时间表的新动态交通分配模型，该模型可以同时确定拥挤乘客的动态平均旅行成本和路线选择公交网络。下层问题可以表述为变分不等式问题。启发式求解算法适用于求解所提出的双层编程模型。最后，通过算例说明了所提出的模型和求解算法的应用。

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