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基于时间匹配度的城市轨道交通乘客乘车方案辨识研究
引用本文:许 帆,韩宝明,郑 玢,周玮腾.基于时间匹配度的城市轨道交通乘客乘车方案辨识研究[J].都市快轨交通,2019,32(4):60-67.
作者姓名:许 帆  韩宝明  郑 玢  周玮腾
作者单位:深圳市城市交通规划设计研究中心有限公司,深圳518021;深圳市交通信息与交通工程重点实验室,深圳518021;北京交通大学交通运输学院,北京,100044;中铁工程设计咨询集团有限公司,北京,100055
基金项目:科技部重点研发计划(2018YFB1201402);北京交通大学校友会基金(9907006511);北京交通大学基本科研业务费资助项目(2019JBM039)
摘    要:城市轨道交通乘客乘车方案是指乘客在出行过程中先后登乘的列车以及相应的乘降车站按照时间顺序排列的集合。在乘客旅行时间划分和基于“二阶段法”的乘客可行乘车方案搜索研究的基础上,提出利用AFC数据和列车时刻表进行乘客乘车方案辨识的方法。首先定义旅行时间匹配度,并在构建随机时间分布的基础上提出随机时间匹配度,在此基础上建立乘车方案的时间匹配度指标;然后利用时间匹配度,提出基于列车容量限制的乘客乘车方案的辨识方法;最后介绍该方法在某市轨道交通系统中的应用。提出的辨识方法利用大量轨道交通数据,对城市轨道交通的运营具有一定的价值和意义。

关 键 词:城市轨道交通  自动售检票(AFC)数据  列车时刻表  乘客乘车方案

Method to Identify Passenger Boarding Plan in an Urban Rail Transit Network Based on Time Matching Degree
XU Fan,HAN Baoming,ZHENG Bin,ZHOU Weiteng.Method to Identify Passenger Boarding Plan in an Urban Rail Transit Network Based on Time Matching Degree[J].Urban Rapid Rail Transit,2019,32(4):60-67.
Authors:XU Fan  HAN Baoming  ZHENG Bin  ZHOU Weiteng
Institution:Shenzhen Urban Transport Planning Center, Ltd., Shenzhen 518021; Shenzhen Key Laboratory of Traffic Infor?mation and Traffic Engineering, Shenzhen 518021;School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044;China Railway Engineering Consulting Group Co. Ltd., Beijing 100055
Abstract:The boarding plan of a passenger in urban rail transit systems refers to the set of trains the passenger boarded and alighted during their trip successively and the corresponding stations in chronological order. Based on the research on the division of travel time of passengers and search for a passenger-feasible boarding plan, which is in turn based on two-stage method, a method to identify passenger boarding plan based on automatic fare collection data and train timetable is proposed. First, the matching degree of travel time and random time based on the construction of the random time distribution is proposed in this study. Then, the time matching degree of a boarding plan is established. With the matching degree, a method to identify the passenger boarding plan considering the limited train capacity is proposed. Finally, applicability of the method is tested on the urban rail transit system of a certain city. The proposed identification method utilizes the large amount of rail transit data, which improve the operation of urban rail transit.
Keywords:urban rail transit  automatic fare collection (AFC) transaction data  train timetable  passenger boarding plan
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