{"title":"Demo: Lane-level Traffic Estimation using V2C Communication","authors":"E. A. Sisbot, Y. Farid","doi":"10.1109/VNC57357.2023.10136273","DOIUrl":null,"url":null,"abstract":"Although the current navigation systems significantly improved route planning, they are not able to capture the micro events on the roads that leads lane-level slowdowns. In this work we present an in-vehicle and cloud system that captures lane-level traffic flow using multiple vehicles' data, detects traffic jams and slowdowns in the cloud, and communicates this information back to the vehicles.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Vehicular Networking Conference (VNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VNC57357.2023.10136273","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
Although the current navigation systems significantly improved route planning, they are not able to capture the micro events on the roads that leads lane-level slowdowns. In this work we present an in-vehicle and cloud system that captures lane-level traffic flow using multiple vehicles' data, detects traffic jams and slowdowns in the cloud, and communicates this information back to the vehicles.