{"title":"通过V2V系统传播危险驾驶信息,减少交通事故","authors":"Sin Syo, Yuka Yamanari, Takashi Nishino, Masaru Miyao, Peng Liu, Hisashi Hayashi","doi":"10.1109/iiai-aai53430.2021.00059","DOIUrl":null,"url":null,"abstract":"In this study, dangerous-driving information, such as drowsy driving and inattentive driving, obtained by a driver-monitoring system is disseminated to neighboring drivers using a vehicle-to-vehicle communication system. This system is expected to prevent accidents by automatically taking accident-avoidance actions once dangerous driving information is received. Existing state-of-the-art accident-prevention systems warn drivers when dangerous driving is detected. Unlike such systems, the proposed system tries to prevent accidents by warning the surrounding drivers by providing dangerous-driving information. The effectiveness of this proposal is verified through a multi-agent simulation, and our proposed mechanism is confirmed to be more effective in preventing car accidents.","PeriodicalId":414070,"journal":{"name":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reducing Traffic Accidents Using a V2V System that Disseminates Dangerous-Driving Information\",\"authors\":\"Sin Syo, Yuka Yamanari, Takashi Nishino, Masaru Miyao, Peng Liu, Hisashi Hayashi\",\"doi\":\"10.1109/iiai-aai53430.2021.00059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, dangerous-driving information, such as drowsy driving and inattentive driving, obtained by a driver-monitoring system is disseminated to neighboring drivers using a vehicle-to-vehicle communication system. This system is expected to prevent accidents by automatically taking accident-avoidance actions once dangerous driving information is received. Existing state-of-the-art accident-prevention systems warn drivers when dangerous driving is detected. Unlike such systems, the proposed system tries to prevent accidents by warning the surrounding drivers by providing dangerous-driving information. The effectiveness of this proposal is verified through a multi-agent simulation, and our proposed mechanism is confirmed to be more effective in preventing car accidents.\",\"PeriodicalId\":414070,\"journal\":{\"name\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iiai-aai53430.2021.00059\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iiai-aai53430.2021.00059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reducing Traffic Accidents Using a V2V System that Disseminates Dangerous-Driving Information
In this study, dangerous-driving information, such as drowsy driving and inattentive driving, obtained by a driver-monitoring system is disseminated to neighboring drivers using a vehicle-to-vehicle communication system. This system is expected to prevent accidents by automatically taking accident-avoidance actions once dangerous driving information is received. Existing state-of-the-art accident-prevention systems warn drivers when dangerous driving is detected. Unlike such systems, the proposed system tries to prevent accidents by warning the surrounding drivers by providing dangerous-driving information. The effectiveness of this proposal is verified through a multi-agent simulation, and our proposed mechanism is confirmed to be more effective in preventing car accidents.