Marian Waltereit, Peter Zdankin, V. Matkovic, Maximilian Uphoff, Torben Weis
{"title":"Online Driving Behavior Scoring using Wheel Speeds","authors":"Marian Waltereit, Peter Zdankin, V. Matkovic, Maximilian Uphoff, Torben Weis","doi":"10.5220/0009215604170424","DOIUrl":null,"url":null,"abstract":": We present an online scoring algorithm for measuring driving behavior using wheel speeds only. Such an algorithm can be used to provide drivers with feedback about their driving behavior while driving in order to reduce aggressive driving, which is a primary cause of traffic accidents. Our algorithm uses a minimal data set already available through the built-in wheel speed sensors of contemporary cars. Due to the small amount of data used and the low computational complexity, our algorithm can easily be deployed on single-board computers. With real driving experiments in a controlled and an uncontrolled environment, we demonstrate the suitability of our scoring algorithm for identifying aggressive driving and assessing the driving behavior.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Vehicle Technology and Intelligent Transport Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0009215604170424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
: We present an online scoring algorithm for measuring driving behavior using wheel speeds only. Such an algorithm can be used to provide drivers with feedback about their driving behavior while driving in order to reduce aggressive driving, which is a primary cause of traffic accidents. Our algorithm uses a minimal data set already available through the built-in wheel speed sensors of contemporary cars. Due to the small amount of data used and the low computational complexity, our algorithm can easily be deployed on single-board computers. With real driving experiments in a controlled and an uncontrolled environment, we demonstrate the suitability of our scoring algorithm for identifying aggressive driving and assessing the driving behavior.