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基于 BRT 站台乘车诱导的公交车辆载客均衡模型
引用本文:郑晓峰,卢 凯,吴 焕,刘永洋,徐建闽.基于 BRT 站台乘车诱导的公交车辆载客均衡模型[J].交通运输系统工程与信息,2014,14(3):137-141.
作者姓名:郑晓峰  卢 凯  吴 焕  刘永洋  徐建闽
作者单位:华南理工大学 土木与交通学院,广州 510640
基金项目:国家自然科学基金项目(61203164);广东省自然科学基金项目(S2012040007998);广东省交通运输厅科技项目 (2013-02-055);广东高校优秀青年创新人才培养计划项目(2012LYM_0014).
摘    要:针对公交站台乘客乘车诱导的问题,以公交线路载客均衡为目的,建立了乘客 乘车诱导模型,实现了最佳乘客乘车诱导方案的编程求解.本文通过建立单条 BRT 线路 车辆载客模型,组合形成了整个区段的 BRT 线路车辆载客模型,建立了一种面向载客均 衡的 BRT 站台乘客乘车诱导模型.理论与算例分析表明,该模型可以生成最佳的乘客乘 车诱导方案,能够实现 BRT 区间线路的载客率均衡,将填补当前公交站台乘客乘车诱导 研究领域的空缺,具有广阔的应用前景与重要的现实意义.

关 键 词:智能交通  载客均衡模型  乘车诱导  载客率  BRT  站台  
收稿时间:2013-12-30

Bus Passenger Equilibrium Model Based on BRT Station Boarding Guidence
ZHENG Xiao-feng,LU Kai,WU Huan,LIU Yong-yang,XU Jian-min.Bus Passenger Equilibrium Model Based on BRT Station Boarding Guidence[J].Transportation Systems Engineering and Information,2014,14(3):137-141.
Authors:ZHENG Xiao-feng  LU Kai  WU Huan  LIU Yong-yang  XU Jian-min
Affiliation:School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
Abstract:In terms of the problem of boarding guidance for bus station passenger, this study develops a boarding guidance model with full consideration of passenger equilibrium. It programs the best passenger guidance schemes. From establishing the passenger equilibrium model for a single bus rapid transit (BRT) route, the passenger equilibrium model is extended to the whole section for many BRT routes. Then, the bus passenger equilibrium model is formulated based on the BRT station boarding guidance. The theatrical and numerical analysis show that the proposed model is able to generate the best passenger guidance schemes that can realize the equilibrium of passenger occupancy rate for BRT routes. The findings of this study may fill the gap in the field of bus station passenger boarding guidance and have wide application prospects and important practical significance.
Keywords:intelligent transportation  passenger equilibrium model  boarding guidance  passenger occu- pancy rate  BRT station  
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