{"title":"从数据到设计:基于物联网的打击分心驾驶和超速事件的新解决方案","authors":"Abida Siddique, Mohammad Gousuddin, R. V J","doi":"10.46338/ijetae0124_02","DOIUrl":null,"url":null,"abstract":"— Distracted driving and speeding are significant contributors to traffic accidents, often resulting in injuries and fatalities. This research paper presents a comprehensive investigation into the factors contributing to driver negligence-related traffic accidents, offering quantifiable findings and proposing a novel solution to mitigate them. The study's primary objective is to design a technology-driven solution that enhances driver awareness, preventing activities like texting, multimedia consumption, browsing, and calls while driving. The system aims to ensure driver attentiveness without disrupting other passengers' data connectivity. Furthermore, the design addresses the issue of excessive speeding by introducing an intelligent strategy. Field testing and validation of the implemented system demonstrated a 97% accuracy in speed measurement and a gesture recognition algorithm with a detection rate of approximately 98.3%. The findings of this research provide valuable insights into combating distracted driving and speeding incidents, offering a data-driven approach to design an innovative solution that can contribute to safer roads.","PeriodicalId":169403,"journal":{"name":"International Journal of Emerging Technology and Advanced Engineering","volume":"62 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From Data to Design: An IoT-Based Novel Solution for Combating Distracted Driving and Speeding Events\",\"authors\":\"Abida Siddique, Mohammad Gousuddin, R. V J\",\"doi\":\"10.46338/ijetae0124_02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"— Distracted driving and speeding are significant contributors to traffic accidents, often resulting in injuries and fatalities. This research paper presents a comprehensive investigation into the factors contributing to driver negligence-related traffic accidents, offering quantifiable findings and proposing a novel solution to mitigate them. The study's primary objective is to design a technology-driven solution that enhances driver awareness, preventing activities like texting, multimedia consumption, browsing, and calls while driving. The system aims to ensure driver attentiveness without disrupting other passengers' data connectivity. Furthermore, the design addresses the issue of excessive speeding by introducing an intelligent strategy. Field testing and validation of the implemented system demonstrated a 97% accuracy in speed measurement and a gesture recognition algorithm with a detection rate of approximately 98.3%. The findings of this research provide valuable insights into combating distracted driving and speeding incidents, offering a data-driven approach to design an innovative solution that can contribute to safer roads.\",\"PeriodicalId\":169403,\"journal\":{\"name\":\"International Journal of Emerging Technology and Advanced Engineering\",\"volume\":\"62 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Emerging Technology and Advanced Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46338/ijetae0124_02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Emerging Technology and Advanced Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46338/ijetae0124_02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
From Data to Design: An IoT-Based Novel Solution for Combating Distracted Driving and Speeding Events
— Distracted driving and speeding are significant contributors to traffic accidents, often resulting in injuries and fatalities. This research paper presents a comprehensive investigation into the factors contributing to driver negligence-related traffic accidents, offering quantifiable findings and proposing a novel solution to mitigate them. The study's primary objective is to design a technology-driven solution that enhances driver awareness, preventing activities like texting, multimedia consumption, browsing, and calls while driving. The system aims to ensure driver attentiveness without disrupting other passengers' data connectivity. Furthermore, the design addresses the issue of excessive speeding by introducing an intelligent strategy. Field testing and validation of the implemented system demonstrated a 97% accuracy in speed measurement and a gesture recognition algorithm with a detection rate of approximately 98.3%. The findings of this research provide valuable insights into combating distracted driving and speeding incidents, offering a data-driven approach to design an innovative solution that can contribute to safer roads.