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Time-dependent trip-chain link travel time estimation model with the first-in-first-out constraint

机译:与先进先出约束的时间相关的旅行链路旅行时间估计模型

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摘要

Estimating network-wide time-dependent link travel time is a key problem in transportation management, During the examination of users' time-dependent route choice behaviors, the conditions and changes in traffic flow propagation in time-space networks must satisfy the first-in-first-out principle in order to be applicable for transportation planning. In this context, we developed a bilevel programming model with the first-in-first-out constraint for estimating time-dependent trip-chain link travel times under to examine users' trip-chain route choice behaviors. Subsequently, we derived a bilevel mathematical formulation and developed an iterative algorithm based on Lagrangian gradient projection. Several numerical examples are presented herein to explain the accuracy of the model. Finally, conclusions and suggestions are presented on the basis of the research findings. (C) 2017 Elsevier B.V. All rights reserved.
机译:估计网络范围的时间依赖链接行程是运输管理中的关键问题,在检查用户的时间依赖路由选择行为期间,时间空间网络中的交通流传播的条件和变化必须满足第一 - 旨在适用于运输规划的原则。 在这种情况下,我们开发了一种彼得维设计模型,其具有估计时间依赖的旅行链路行程时间来检查用户的跳闸链路路径选择行为。 随后,我们派生了一种基于拉格朗日梯度投影的迭代算法。 本文提出了几个数值示例来解释模型的准确性。 最后,在研究结果的基础上提出了结论和建议。 (c)2017年Elsevier B.V.保留所有权利。

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