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Stochastic Transportation Network Design Problem with Spatial Equity Constraint

机译:具有空间资产约束的随机交通网络设计问题

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摘要

Equity issues and demand uncertainty are two important issues in the network design problem (NDP). Spatial equity in NDP is concerned with the benefit distribution among network users. By considering demand uncertainty, a more realistic evaluation of the network performance given a network improvement plan can be obtained. Two stochastic models that consider both spatial equity and demand uncertainty are formulated: an expected-value model and a chance-constrained model. Both models are solved by a simulation-based genetic algorithm procedure. The genetic algorithm is used to solve NDP, and stochastic simulation is used to simulate the demand uncertainty. The results of numerical experiments are provided to demonstrate the significance of the equity issue and demand uncertainty in NDP.
机译:公平问题和需求不确定性是网络设计问题(NDP)中的两个重要问题。 NDP中的空间公平性关系到网络用户之间的利益分配。通过考虑需求不确定性,可以在给定网络改进计划的情况下获得更实际的网络性能评估。提出了同时考虑空间公平性和需求不确定性的两个随机模型:期望值模型和机会约束模型。两种模型均通过基于仿真的遗传算法程序求解。遗传算法用于求解NDP,随机模拟用于模拟需求不确​​定性。提供数值实验的结果,以证明NDP中股票发行和需求不确定性的重要性。

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