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城市轨道交通动态客流分配仿真方法研究
引用本文:胡剑鹏,罗霞. 城市轨道交通动态客流分配仿真方法研究[J]. 系统仿真学报, 2022, 34(3): 512-526. DOI: 10.16182/j.issn1004731x.joss.20-0830
作者姓名:胡剑鹏  罗霞
作者单位:1.西南交通大学 交通运输与物流学院, 四川 成都 6117562.西南交通大学 综合交通运输智能化国家地方联合工程实验室, 四川 成都 611756
基金项目:四川省科技厅科技计划(2020YJ0255)
摘    要:根据轨道交通网络存在大量换乘路径的特点,改进深度优先搜索算法得出站点间换乘路径的有效出行时间。基于自动票务收集系统(automatic fare collection system,AFC)数据得到的乘客进出闸机时刻,利用仿真方法确定乘客与列车在时间和路径的接续关系,同时考虑始发乘客和换乘乘客路径选择行为的差异,将二者区分配流。动态更新先到乘客利用换乘路径的出行时间,并以更新后的时间作为后续出发乘客的路径选择依据。结果表明,该仿真方法可以有效反映乘客的出行过程,具有较高的配流精度。

关 键 词:轨道交通  动态客流分配  时刻表  自动票务收集系统(automatic fare collection system,AFC)数据
收稿时间:2020-10-28

Research on the Simulation Method of Urban Rail Transit Feedback Assignment
Jianpeng Hu,Xia Luo. Research on the Simulation Method of Urban Rail Transit Feedback Assignment[J]. Journal of System Simulation, 2022, 34(3): 512-526. DOI: 10.16182/j.issn1004731x.joss.20-0830
Authors:Jianpeng Hu  Xia Luo
Affiliation:1.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China2.National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China
Abstract:Based on the characteristics of a large number of transfer routes in rail transit network, an improved depth first search algorithm is proposed to get the effective travel time of transfer routes between stations. Based on passenger entry and exit timing obtained from the automatic fare collection (AFC) data, the connect relationship between passengers and trains in time and route is obtained from the arrival time and route selection behavior of passengers. Considering the difference of route choice behavior between departure passenger and transfer passenger, the two are distinguished from each other. The dynamically updated travel time of the arrived passengers using the transfer path is fed back to the subsequent departure passengersas the basis for the subsequent passenger path selection. The results show that the simulation method can effectively reflect the travel process of passengers and has a high accuracy of passenger allocation.
Keywords:urban railway  dynamic flow assignment  schedule  automatic fare collection system (AFC) data  
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