基于公交IC卡和AVL数据的换乘行为识别方法  

A Method to Identify Public Transit Transfers Based on IC and AVL Data

作　　者：李海波[1,2] 陈学武[1,2] 

机构地区：[1]东南大学交通学院,南京220096 [2]现代城市交通技术江苏高校协同创新中心,南京市210096

出　　处：《交通运输系统工程与信息》2013年第6期73-79,共7页Journal of Transportation Systems Engineering and Information Technology

基　　金：国家重点基础研究发展计划(2012CB725402);中国博士后科学基金面上资助项目(2013M540408)

摘　　要：公交换乘枢纽是多模式公交系统的关键节点,而公交换乘行为特征是公交换乘枢纽规划和管理的重要依据.本文从公交出行过程入手,将公交换乘过程抽象为若干时间节点.结合现状公交系统数据的特点,通过公交IC卡和AVL数据的有效融合,推算得到乘客换乘前的下车时间和步行到换乘站点的时间.基于'随到随走'的出行假设,本文提出通过比较换乘前下车时间、换乘上车时间与换乘线路的车辆到站时间,来进行换乘行为的判断.本文应用苏州市某乘客的IC数据对算法的可行性和有效性进行了验证,结果表明,本算法比直接通过连续两次刷卡的时间间隔判断更加合理和准确.The behavior characteristics of public transit transfers are important to the planning and operation of public transit transfer hubs, which are the key nodes of multi-mode urban public transportation systems. This paper analyzes bus trip process and describes it as a serial of time points. Considering the features of current public transportation system data, it is possible to calculate previous alighting time and arrival time at transfer stations by combining IC data with AVL data. According to the assumption that bus passengers will get on the first bus arriving at the transfer station, we can determine whether a bus passenger is a transfer or not by just comparing his/her previous alighting time and arrival time at transfer stations with bus arrival time at the transfer station. Finally, it takes two continuous transaction records of an actual bus passenger from Suzhou as an example to examine the feasibility and efficiency of the method. The result indicates that the improved method is much more reasonable and accurate.

关 键 词：智能交通 公交换乘行为 IC卡数据 AVL数据 公交出行过程 

分 类 号：U49[交通运输工程—交通运输规划与管理]