手机信令定位频率对交通方式识别的影响  

Influence of Location Frequency on Travel Mode Extraction Using Cellular Phone Data

作　　者：王彦琛 杨飞[1] 李荣玲 周涛 WANG Yanchen;YANG Fei;LI Rongling;ZHOU Tao(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;China Mobile Group Sichuan Co.,Ltd.,Chengdu 610084,Chengdu;Chongqing Transportation Planning and Research Institute,Chongqing 401132,China)

机构地区：[1]西南交通大学交通运输与物流学院,四川成都611756 [2]中国移动通信集团四川有限公司,四川成都610084 [3]重庆市交通规划研究院,重庆401132

出　　处：《西南交通大学学报》2024年第5期1158-1166,共9页Journal of Southwest Jiaotong University

基　　金：国家自然科学基金项目(52072313)。

摘　　要：作为影响手机信令数据定位质量的关键因素,定位频率对交通方式的识别精度具有重要影响.为量化定位频率与交通方式识别精度之间的变化规律,首先,提出一种基于随机森林的交通方式识别模型;其次,在通信运营商的协助下,通过开展实地数据采集实验,完成手机信令数据及对应真实出行信息的同步采集,并利用该数据集对本文提出的交通方式识别模型进行验证;最后,通过数据抽样形成一系列拥有不同定位频率的手机信令数据集,利用该系列数据集对不同定位频率下的交通方式识别精度进行评估研究.研究结果表明:本文模型对步行、非机动车、汽车和公共交通4种交通方式的总体识别准确率为79.2%;每种交通方式对定位频率的敏感性不同,其中非机动车与公交的敏感性更高,步行和汽车的敏感性相对较低;随着平均定位频率从48 s/条下降至241 s/条,非机动车和公交的整体识别精度下降幅度分别约为19.2%和21.5%,而步行与汽车的整体识别精度则分别下降12.8%与11.5%;综合考虑识别准确率与计算效率两方面的需求,建议将60 s/条作为用户筛选与数据抽样的最佳阈值.As a key factor affecting location quality of cellular phone data,location frequency has an important influence on the extraction accuracy of travel mode.In order to quantify the change rule between the location frequency and accuracy of travel mode extraction,a travel mode extraction model based on random forest is proposed.Second,with the help of communication operators,through a field data collection,individual cellular phone data and corresponding real travel information were simultaneously acquired.The dataset is used to verify the travel mode extraction model.Finally,a series of cellular phone datasets with different location frequencies are built through data sampling.With this series of datasets,the extraction accuracy of traffic modes under different location frequencies is evaluated.The evaluation results show that the overall extraction accuracy for walking,non-motorized vehicles,cars,and buses is 79.2%,and the sensitivity of each travel mode to location frequency is different.The sensitivity of non-motorized vehicles and buses is higher,and the sensitivity of walking and cars is relatively low.As the location frequency is decreased from 48 seconds per data to 241seconds per data,the overall accuracy of non-motorize vehicles and buses is decreased by 19.2% and 21.5%,respectively,while that of walking and car is decreased by 12.8% and 11.5%,respectively.Owning to the requirements of extraction accuracy and computing efficiency,60 seconds per data is recommended as the optimal threshold for user screening and data sampling.

关 键 词：智能交通 交通方式 手机信令数据 定位频率 随机森林 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]