基于APTS数据的公交卡乘客通勤OD分布估计方法  

Estimating Smart Card Commuters Origin-Destination Distribution Based on APTS Data

作　　者：陈君[1] 杨东援[2] 

机构地区：[1]西安建筑科技大学土木工程学院,西安710055 [2]同济大学交通运输工程学院,上海201804

出　　处：《交通运输系统工程与信息》2013年第4期47-53,共7页Journal of Transportation Systems Engineering and Information Technology

基　　金：国家自然科学基金项目(51208408);陕西省教育厅科研计划项目(12JK0797)

摘　　要：为提高通勤者使用公交出行的比例,有效缓解城市交通拥堵,对应用智能公交系统数据(Advanced Public Transportation Systems,APTS)获得公交通勤出行需求的方法进行研究.采集APTS数据,通过对公交IC卡数据和智能调度系统数据的关联获得公交乘客的上车站点信息.根据早、晚高峰的出行频率判断公交通勤乘客,利用通勤出行的时间和空间特征确定居住地点和工作地点.以此基本思路,提出公交卡乘客通勤OD分布估计算法,并应用海量APTS系统数据对算法进行了试验和分析.最后,通过与基于'出行链'的方法进行比较,分析了算法的精度.本文提出的方法具有精度高、可操作性强的优点,为快速、经济地获取公交通勤OD分布提供了一种新的途径.Increasing the proportion of commuters travelling by public transportation can effectively ease urban traffic congestion. This paper addresses the application of Advanced Public Transportation Systems （APTS）data to analyze transit commuters travel demand. This study involved collection of APTS data and boarding stops information by combining smart card data and intelligent dispatching data. Transit commuters were judged according to travel frequency of morning and evening traffic peaks. The residences and work places were identified by spatial-temporal characteristics of commuters travel. Based on this idea, an estimation algorithm was proposed. The algorithm was tested and analyzed using large-scale AVIS data. Finally, the method ＇s accuracy was analyzed by comparison with the ＂Trip-chain＂ method. The proposed method provides some advantages including, high accuracy and strong operability. The study provides a fast and economic new approach to acquiring transit commuters Origin-Destinatlon （OD） distribution.

关 键 词：交通工程 公共交通 通勤出行 OD 智能公交系统 公交IC卡 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]