Hyun-Soo Seo, Chang-Jin Lee, Hyo-Un Kim, D. Noh, Sang-sun Lee
{"title":"A Left Turn Assist Application using Wireless Vehicle-to-Vehicle Communications at Unsignalized Intersections","authors":"Hyun-Soo Seo, Chang-Jin Lee, Hyo-Un Kim, D. Noh, Sang-sun Lee","doi":"10.1145/2536853.2536922","DOIUrl":null,"url":null,"abstract":"We present a wireless vehicle-to-vehicle communications-based safety application to assist drivers with safe left turns at unsignalized intersections. When a potentially dangerous situation such as an oncoming vehicle from the opposite lane is detected, our system can provide the driver with a warning. Our system gives advisory or imminent warnings according to the predicted accident levels through a HMI. For a performance test of our application, we configured three test scenarios and tested our system with vehicles on a proving ground. The test results showed 93% success rates.","PeriodicalId":135195,"journal":{"name":"Advances in Mobile Multimedia","volume":"145 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Mobile Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2536853.2536922","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
We present a wireless vehicle-to-vehicle communications-based safety application to assist drivers with safe left turns at unsignalized intersections. When a potentially dangerous situation such as an oncoming vehicle from the opposite lane is detected, our system can provide the driver with a warning. Our system gives advisory or imminent warnings according to the predicted accident levels through a HMI. For a performance test of our application, we configured three test scenarios and tested our system with vehicles on a proving ground. The test results showed 93% success rates.