交通运输研究2018，Vol.4Issue(6)：47-54,8.DOI:10.16503/j.cnki.2095-9931.2018.06.007
基于移动数据的用户出行方式识别研究
User Travel Mode Recognition Based on Mobile Location Data
摘要
Abstract
In order to study the application of location data of intelligent mobile phones in the field of identifying the users' travel modes, firstly, five characteristic variables applied to distinguish travel modes by mobile terminal positioning data were compared and selected, including speed, percentile of speed, proportion of track point number, trip distance and stopping rate. The threshold value of each characteristic variable was determined. Then, aiming at the problems of data deviation and position information drift and other problems caused by base station distribution, the data was modified by sector positioning and map matching technology. Based on the segmentation of time threshold and distance threshold, the acquisition method of mobile terminal user travel chain was proposed. After that, C4.5 decision tree model was established to distinguish mobile terminal users' travel modes. Finally, the location data, including terminal number, positioning time, longitude and latitude, of 7 000 mobile terminals in one area was collected to study those users' travel modes. The results showed that there was high accuracy in distinguishing motor vehicles and non-motor vehicles, which was more than 90％. Then in further distinguish, such as between walking and cycling, as well as bus and car travel, there was relatively low accuracy, but it also achieved an accuracy of more than 80％.关键词
移动终端/位置数据/出行方式/城市规划/决策树/C4.5算法Key words
mobile terminal/location data/travel mode/urban planning/decision tree/C4.5 algorithm分类
交通工程引用本文复制引用
张鹤鹏,黄达,杜辰,李晓璐,朱广宇..基于移动数据的用户出行方式识别研究[J].交通运输研究,2018,4(6):47-54,8.基金项目
国家自然科学基金项目(61872037),国家自然科学基金项目(61833002) （61872037）
深圳市交通公用设施建设项目(BYTD-KT-002-2) （BYTD-KT-002-2）
