首页> 外文会议>The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)论文集 >A Mixed Equilibrium Traffic Assignment Model for Transportation Networks with ATIS under Demand and Supply Uncertainties
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A Mixed Equilibrium Traffic Assignment Model for Transportation Networks with ATIS under Demand and Supply Uncertainties

机译:供需不确定下带ATIS的交通网络混合均衡交通分配模型

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This paper presents a new mixed equilibrium traffic assignment model for transportation networks with advanced traveler information systems (ATIS) under demand and supply uncertainties. Uncertainties in demand and supply simultaneously cause the travel time variations. Confronted with such travel time variations, drivers with and without ATIS will take different travel time reliability-based path choice behaviors. After the consideration of the co-relationship between the two driver classes, such path choice problem is formulated as a mixed equilibrium traffic assignment model in terms of a variational inequality problem, which can be solved by a heuristic solution algorithm. Numerical examples are presented to illustrate the new features of the proposed model.
机译:本文提出了一种在需求和供应不确定的情况下,具有先进旅行者信息系统(ATIS)的运输网络的新型混合均衡交通分配模型。需求和供应的不确定性同时导致行程时间的变化。面对这样的旅行时间变化,具有和不具有ATIS的驾驶员将采取不同的基于旅行时间可靠性的路径选择行为。在考虑了两个驾驶员类别之间的相互关系之后,根据变分不等式问题,将该路径选择问题表述为混合均衡交通分配模型,可以通过启发式求解算法来解决。数值例子说明了所提出模型的新特性。

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