交通信息与安全2018，Vol.36Issue(1)：96-102,7.DOI:10.3963/j.issn.1674-4861.2018.01.013
基于分布式出行信息的轨道交通出行特征辨识
Identification of Travel Behavior of Urban Rail Transit System Using Distributed Trip Information
摘要
Abstract
A detection system and related algorithms of distributed trip behaviors are developed to identify charac-teristics of trips in urban rail transit systems using Wi-Fi information collected from passengers.The unique Media Access Control(MAC)addresses of mobile devices carried by passengers can be detected by detection devices installed in stations and be uploaded to a data center.The characteristics of route choices and travel time can be identified by comparing time stamps and related station IDs of selected mobile devices in the data center.T ransfer time can also be obtained by consid-ering operation time of the urban rail transit system,w hich can be utilized as a constraint of route identification.A case study of the rail transit system in Xi′an with actual information from the AFC data indicates that the proposed system can identify route choices and travel time for all kinds of networks with a sampling rate of 32.86% and an error rate of 3.8%. Analyzing the results of this system can be utilized for precise management,such as ticket clearing and station design.关键词
智能交通/出行特征/分布式出行信息/城市轨道交通/出行行为Key words
intelligent transportation/trip characteristics/distributed trip information/urban rail transit/trip be-haviors分类
交通工程引用本文复制引用
李岩,张凯丽,南斯睿,陈宽民..基于分布式出行信息的轨道交通出行特征辨识[J].交通信息与安全,2018,36(1):96-102,7.基金项目
国家自然科学基金项目(51408049)、中国博士后科学基金项目(2016M590914)、陕西省自然科学基础研究计划项目(2015JQ5167)、陕西省博士后科研项目(2016BSHEDZZ134)、中央高校基本科研业务经费专项资金项目(310821161011)资助 （51408049）
