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考虑决策惯性的随机网络路径选择与交通流分配模型
Route choice model in stochastic network and its application in traffic assignment with consideration to travelers' decision inertia

查看参考文献28篇

文摘 本文针对随机网络的出行情境,分析了出行者路径选择中的惯性行为及其影响因素,提出了可变的可靠性价值系数以描述出行者的决策惯性,进而定义了随机网络中考虑决策惯性与风险规避的路径选择决策,并给出了相应的数学表达.通过分析发现,本文建立的考虑决策惯性的路径选择决策模型具有一般性,能考虑多种有限理性因素对出行者路径选择的影响;并且,通过特定的参数设置,能表示为文献中现有的多种随机网络路径选择决策模型.随后,定义了随机网络考虑决策惯性的用户最优均衡,并给出了等价的非线性互补问题,对模型的解的存在性和解集的性质进行了讨论.本文还构建了算例,对用户最优均衡模型的性质进行了分析和说明.
其他语种文摘 This paper analyzed travelers' route choice inertia in stochastic network and proposed an inertia-based route choice model.The inertia-based route choice model included different inertial behavior mechanisms and could be reduced to several route choice models in the literatures by setting special values to the parameters.The proposed route choice model was further applied to establish the stochastic-network inertial user equilibrium model as well as its equivalent non-linear complimentarity problem.The paper also conducted numerical examples to illustrate the inertial route choice model as well as the traffic assignment model.
来源 系统工程理论与实践 ,2021,41(4):1010-1017 【核心库】
DOI 10.12011/SETP2019-1177
关键词 决策惯性 ; 随机网络 ; 路径选择 ; 交通流分配
地址

南京大学工程管理学院, 南京, 210093

语种 中文
文献类型 研究性论文
ISSN 1000-6788
学科 公路运输
基金 国家自然科学基金
文献收藏号 CSCD:6950518

参考文献 共 28 共2页

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引证文献 4

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