{"title":"Driver Behavior Management in Supply Chain Industries across Southeast Asia","authors":"Anuradha Das, Sabarirajan K, Selvakuberan Karuppasamy, Subhashini Lakshminarayanan","doi":"10.1109/ICEEICT56924.2023.10157716","DOIUrl":null,"url":null,"abstract":"There has been a rapid increase in the traffic concentration in southeast Asian countries in the past decade. The impact of risky driving attitude on businesses is monumental both in terms of road safety and cost optimization. The purpose of this article was to identify potentially risky driving pattern and factors influencing them including geographical factors. We analyzed the telematics data generated by an In-Vehicle-Monitoring-System installed in vehicles operating in supply chain industries. With the findings we propose the framework of a Risk Management platform which can be used by fleet managers to provide constructive feedbacks to drivers. Telematics data gathered after the implementation of the RMP shows up to 20% decrease in one of the key harsh driving indicators i.e. Harsh Acceleration.","PeriodicalId":345324,"journal":{"name":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"42 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEICT56924.2023.10157716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
There has been a rapid increase in the traffic concentration in southeast Asian countries in the past decade. The impact of risky driving attitude on businesses is monumental both in terms of road safety and cost optimization. The purpose of this article was to identify potentially risky driving pattern and factors influencing them including geographical factors. We analyzed the telematics data generated by an In-Vehicle-Monitoring-System installed in vehicles operating in supply chain industries. With the findings we propose the framework of a Risk Management platform which can be used by fleet managers to provide constructive feedbacks to drivers. Telematics data gathered after the implementation of the RMP shows up to 20% decrease in one of the key harsh driving indicators i.e. Harsh Acceleration.