{"title":"A Transportation Control System for Urban Environments","authors":"Catalin Fratila, C. Dobre, Florin Pop, V. Cristea","doi":"10.1109/EIDWT.2012.30","DOIUrl":null,"url":null,"abstract":"Wireless technologies can help solve traffic congestions in urban environments, where road infrastructures develop slower than the sometimes exponential growth in the number of cars in traffic. We present a traffic control and congestion avoidance system developed over a vehicular ad-hoc network created between the cars in traffic and the road infrastructure. We propose a solution for monitoring traffic using not only sensors within the road infrastructure, but also the cars themselves acting as data collectors. The traffic control decision, provided by the road infrastructure, is scalable, load-balanced, and uses correction decisions for the route adjustment based on local areas. We present evaluation results that show the capabilities of the proposed congestion avoidance model.","PeriodicalId":222292,"journal":{"name":"2012 Third International Conference on Emerging Intelligent Data and Web Technologies","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Emerging Intelligent Data and Web Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIDWT.2012.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Wireless technologies can help solve traffic congestions in urban environments, where road infrastructures develop slower than the sometimes exponential growth in the number of cars in traffic. We present a traffic control and congestion avoidance system developed over a vehicular ad-hoc network created between the cars in traffic and the road infrastructure. We propose a solution for monitoring traffic using not only sensors within the road infrastructure, but also the cars themselves acting as data collectors. The traffic control decision, provided by the road infrastructure, is scalable, load-balanced, and uses correction decisions for the route adjustment based on local areas. We present evaluation results that show the capabilities of the proposed congestion avoidance model.