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城市轨道交通高峰线路客流协同控制方法
引用本文:李登辉,彭其渊,鲁工圆,王坤,吴正阳.城市轨道交通高峰线路客流协同控制方法[J].交通运输系统工程与信息,2019,19(6):141-147.
作者姓名:李登辉  彭其渊  鲁工圆  王坤  吴正阳
作者单位:西南交通大学交通运输与物流学院,成都610031;综合交通运输智能化国家地方联合工程实验室,成都610031;成都地铁运营有限公司,成都,610051
基金项目:国家重点研发计划/National Key Research and Development Program of China (2017YFB1200700).
摘    要:在线路客流控制中,需同时考虑各个车站控流方案的可执行性与协同性. 采用 Fisher 最优分割法确定合理客流控制时段,基于此建立以乘客总等待时间最少和旅客周转量最大为目标的线路客流协同控制线性规划模型. 基于成都地铁2 号线AFC数据进行实验,针对协同控流与非协同控流方案,以及不同客流控制时段划分方案下的协同控流方案进行对比实验. 算例中:协同控流方案在旅客周转量下降约1.0%的情况下,乘客总等待时间减少约 56.7%;基于Fisher 最优分割法确定的时段划分方案中协同控流方案在乘客总等待时间方面最优,并具有很好的可执行性.

关 键 词:城市交通  线路客流协同控制  线性规划模型  高峰客流  Fisher最优分割
收稿时间:2019-07-08

Control Method for Passenger Inflow Control with Coordination on Urban Rail Transit Line in Peak Hours
LI Deng-hui,PENG Qi-yuan,LU Gong-yuan,WANG Kun,WU Zheng-yang.Control Method for Passenger Inflow Control with Coordination on Urban Rail Transit Line in Peak Hours[J].Transportation Systems Engineering and Information,2019,19(6):141-147.
Authors:LI Deng-hui  PENG Qi-yuan  LU Gong-yuan  WANG Kun  WU Zheng-yang
Institution:1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China; 2. Integrated Transportation and Intelligent National Local Joint Engineering Laboratory, Chengdu 610031, China; 3. Chengdu Rail Transit Group Co., Ltd., Chengdu 610051, China
Abstract:The executability of the passenger flow control strategies and the coordination among the strategies need to be simultaneously taken into account in the passenger flow control on an urban rail transit line. In this paper, the reasonable control time intervals are firstly determined by Fisher optimal division method. Then this paper proposes a linear programming model for passenger flow collaborative control, which aims at minimizing the total passenger waiting time and maximizing the passenger person- kilometers. Based on the data of AFC of Chengdu Metro Line 2, this paper makes two group of experiments of comparative analysis, including the collaborative and non- collaborative control strategies; and the collaborative control strategies under different control time interval division strategies. In the experiments: the total passenger waiting time decreases by 56.7% when the passenger person-kilometers decreases by about 1.0%; the collaborative control strategy from the control time intervals based on Fisher optimal division method is optimal in the total passenger waiting time and has a high executability.
Keywords:urban traffic  passenger flow collaborative control  linear programming model  peak passenger flow  Fisher optimal division method  
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