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随机动态交通网络中的停车行为
引用本文:易昆南,李志纯.随机动态交通网络中的停车行为[J].长沙理工大学学报(自然科学版),2006,3(2):12-17.
作者姓名:易昆南  李志纯
作者单位:1. 中南大学,数学科学与计算技术学院,湖南,长沙,410075
2. 北京航空航天大学,管理学院,北京,100083
摘    要:传统的静态确定型停车行为模型忽略了网络的时变性和随机性.基于道路供给和交通需求的不确定性,研究了随机动态交通网络中出行者的停车行为,建立了供需相互作用下的不动点拟动态停车行为模型,设计了基于Monte Carlo模拟方法的算法来求解该模型.算例结果表明,该模型能有效地模拟人们的停车选择行为.这一研究有助于加深对旅行行为的理解和透析交通行为的本质,为正确评价停车政策和合理规划停车系统提供了策略.

关 键 词:随机动态网络  不动点问题  Monte  Carlo模拟  停车行为
文章编号:1672-9331(2006)02-0012-06
收稿时间:2006-01-23
修稿时间:2006年1月23日

Parking behavior in stochastic and time-dependent networks
YI Kun-nan,LI Zhi-chun.Parking behavior in stochastic and time-dependent networks[J].Journal of Changsha University of Science and Technology:Natural Science,2006,3(2):12-17.
Authors:YI Kun-nan  LI Zhi-chun
Institution:1. College of Mathematics and Computer Science, Central South University, Changsha 410075, China; 2. College of Management, Beijing University of Aeronautics and Astronautics, Beijing 100083 ,China
Abstract:In traditionally static and deterministic parking models,the time dependence and stochasticity of road networks is ignored.A fixed-point model for investigating parking choice behavior in stochastic and time-dependent networks based on uncertainties of transport supply and traffic demand were presented.A solution algorithm combined with Monte Carlo simulation method is developed to solve the proposed model.A numerical example is provided to illustrate the application of the proposed model and solution algorithm.The results show that the proposed model provides a useful tool for deepening the understandings about travel behavior of travelers,and can be used to assess parking policies and design parking system.
Keywords:stochastic and time-dependent network  fixed-point model  Monte Carlo  parking behavior
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