A Study on Network Design Problems for Multi-modal Networks by Probit-based Stochastic User Equilibrium
A Study on Network Design Problems for Multi-modal Networks by Probit-based Stochastic User Equilibrium
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DOI：
10.1007/s11067-006-9010-7
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发表时间：
2007-05
影响因子：
2.4
通讯作者：
K. Uchida;A. Sumalee;D. Watling;R. Connors
中科院分区：
文献类型：
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作者：
K. Uchida;A. Sumalee;D. Watling;R. Connors
建立了一个考虑铁路、公交、汽车、步行等多种出行方式的多式联运网络模型。假设旅行者选择他们的多模式路线，以尽量减少他们的感知disutilities旅行的概率随机用户均衡（SUE）条件。影响多模式路线负效用的因素包括实际旅行时间、交通系统的不适感、预期等待时间、票价和特定于运输模式的常数。然后，本文讨论了多模态网络设计问题（NDP）。本文采用灵敏度分析的方法来定义的Probit SUE链路流和设计参数之间的线性逼近函数，然后将其作为约束的NDP的子问题，而不是原来的SUE条件。在此基础上，提出了一种求解该问题的有效算法。本文给出了这一一般NDP公式的两个实例：公共交通服务的最优频率设计问题（FDP）和防冻剂分散问题（AADP）。
This paper develops a multi-modal transport network model considering various travel modes including railway, bus, auto, and walking. Travellers are assumed to choose their multi-modal routes so as to minimise their perceived disutilities of travel following the Probit Stochastic User Equilibrium (SUE) condition. Factors influencing the disutility of a multi-modal route include actual travel times, discomfort on transit systems, expected waiting times, fares, and constants specific to transport modes. The paper then deals with the multi-modal network design problem (NDP). The paper employs the method of sensitivity analysis to define linear approximation functions between the Probit SUE link flows and the design parameters, which are then used as constraints in the sub-problem of the NDP instead of the original SUE condition. Based on this reformulated NDP, an efficient algorithm for solving the problem is proposed in the paper. Two instances of this general NDP formulation are then presented in the paper: the optimal frequency design problem for public transport services (FDP), and the anti-freezing admixture dispersion problem (AADP).