学术论文

      基于公交IC卡和GPS数据的换乘识别方法

      A method to identify public transportation transfer based on IC and GPS data

      摘要:
      为提高公交换乘识别的精度,将IC卡和GPS数据融合推断得到乘客上车站点和下车站点及下车时间,在此基础上根据居民公交出行的特点及过程,从时间角度和空间角度来判断公交换乘行为.时间角度判断是从乘客站台候车时间及乘客站台候车时间段内是否乘坐第一辆目标线路车辆两个方面进行换乘行为识别.空间角度判断通过两个参数即迂回系数和直达系数来进行换乘行为的判断.最后,与只从时间角度识别的方法进行了对比.结果表明:考虑空间因素的识别方法更为合理全面.
      Abstract:
      To improve the accuracy of public transportation transfer identification, IC data was combined with GPS data to infer passengers` boarding stops, alighting stops and alighting time.Based on the data, the public transportation transfer can be identified from spatial and temporal conditions considering the characteristics and process of bus trip.Temporal condition can determine whether a bus passenger is a transfer or not by comparing his time waiting for bus with the threshold or his boarding on the first bus that arrives at the transfer station during his waiting time.On spatial condition, the transfer is identified by circuity ratio and direct coefficient.Finally, compared with the methods that identify transfers only from the time condition, the proposed method that adds space criteria makes identification more rational and comprehensive.
      作者: 李莹 翁小雄
      Author: LI Ying WENG Xiao-xiong
      作者单位: 华南理工大学土木与交通学院,广东广州,510640
      年,卷(期): 2017, 42(2)
      分类号: U491
      在线出版日期: 2017年5月16日
      基金项目: 国家自然科学基金资助项目,广东省交通运输厅科技项目