{"title":"A new approach to customization of accident warning systems to individual drivers","authors":"Ali Rakhshan, Evan Ray, H. Pishro-Nik","doi":"10.1109/COGSIMA.2016.7497813","DOIUrl":null,"url":null,"abstract":"This paper discusses the need for individualizing safety systems and proposes an approach including the Real-Time estimation of the distribution of brake response times for an individual driver. In order to improve the safety, the accident warning system should send “tailored” responses to the driver. This method could be the first step to show that safety applications of intelligent transportation systems would potentially benefit from customizing to individual drivers' characteristics using vehicular ad hoc networks. Our simulation results show that, as one of the imminent and preliminary outcomes of the new improved system, the number of false alarms will be reduced by more than 40%.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"336 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2016.7497813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper discusses the need for individualizing safety systems and proposes an approach including the Real-Time estimation of the distribution of brake response times for an individual driver. In order to improve the safety, the accident warning system should send “tailored” responses to the driver. This method could be the first step to show that safety applications of intelligent transportation systems would potentially benefit from customizing to individual drivers' characteristics using vehicular ad hoc networks. Our simulation results show that, as one of the imminent and preliminary outcomes of the new improved system, the number of false alarms will be reduced by more than 40%.