{"title":"Analysis of driving characteristics of drivers with different car following styles","authors":"Aihong Lyu, Zhurang Zhang, Yazhuan Zhao, Yali Zhang","doi":"10.1109/iceert53919.2021.00058","DOIUrl":null,"url":null,"abstract":"To solve the problem of single driving style was considered and unclear driving characteristics of different car-following styles in the existing intelligent car-following assistant system, this paper selected the car-following segments of drivers with different styles by natural driving trials, and 225 car-following segments were classified by K-means, which were divided into three categories: conservative, moderate and aggressive. Then, the THW (Time Headway), the opening of the accelerator pedal, TTC, the velocity of ego-vehicle and preceding vehicle were selected to analyze the driving characteristics of drivers under three different car-following styles. It is found that the velocity of conservative is less affected by the front vehicle, and the THW is distributed between 2-3s, also the opening of the accelerator pedal is basically kept below 40%, and the absolute value of TTC is large, so the collision risk is low; the velocity of aggressive is greatly affected by the front vehicle, and they are used to keeping a close following distance to follow the front vehicle, and their THW is distributed in 0.5-1.5s, also the absolute value of TTC is small, so the risk of car-following collision is high; The driver’s driving characteristics of the moderate lie between the two.","PeriodicalId":278054,"journal":{"name":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iceert53919.2021.00058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
To solve the problem of single driving style was considered and unclear driving characteristics of different car-following styles in the existing intelligent car-following assistant system, this paper selected the car-following segments of drivers with different styles by natural driving trials, and 225 car-following segments were classified by K-means, which were divided into three categories: conservative, moderate and aggressive. Then, the THW (Time Headway), the opening of the accelerator pedal, TTC, the velocity of ego-vehicle and preceding vehicle were selected to analyze the driving characteristics of drivers under three different car-following styles. It is found that the velocity of conservative is less affected by the front vehicle, and the THW is distributed between 2-3s, also the opening of the accelerator pedal is basically kept below 40%, and the absolute value of TTC is large, so the collision risk is low; the velocity of aggressive is greatly affected by the front vehicle, and they are used to keeping a close following distance to follow the front vehicle, and their THW is distributed in 0.5-1.5s, also the absolute value of TTC is small, so the risk of car-following collision is high; The driver’s driving characteristics of the moderate lie between the two.