西南交通大学学报2024，Vol.59Issue(5)：1158-1166,9.DOI:10.3969/j.issn.0258-2724.20220136
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
摘要
Abstract
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 241 seconds 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Key words
intelligent traffic/travel mode/cellular phone data/location frequency/random forest分类
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王彦琛,杨飞,李荣玲,周涛..手机信令定位频率对交通方式识别的影响[J].西南交通大学学报,2024,59(5):1158-1166,9.基金项目
国家自然科学基金项目(52072313) 重庆市规划与自然资源局科技项目(KJ-2021007)的资助. （52072313）
