{"title":"Approach for a Congestion Charges System supported on Internet of Things","authors":"Jesse Padilla Agudelo, H. C. Castro Barrera","doi":"10.1109/COLCOMCON.2014.6860424","DOIUrl":null,"url":null,"abstract":"This paper describes an approach for a congestion charge system architecture based on a model of Internet of Things. This proposal is made in order to address the problems caused by the growth of traffic congestion on road infrastructure that supports a city. The vision of the architecture is the divided in two components: the vehicular detection component and the processing and analysis component. The first of these is related to the network of distributed and autonomous hardware used to monitor and detect vehicles that enter to a cost congestion area. The second component is responsible for the logical operations business of the system. The document shows advantages of the model of Internet of Things for a Congestion Charges System and other associated challenges.","PeriodicalId":346697,"journal":{"name":"2014 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Colombian Conference on Communications and Computing (COLCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COLCOMCON.2014.6860424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper describes an approach for a congestion charge system architecture based on a model of Internet of Things. This proposal is made in order to address the problems caused by the growth of traffic congestion on road infrastructure that supports a city. The vision of the architecture is the divided in two components: the vehicular detection component and the processing and analysis component. The first of these is related to the network of distributed and autonomous hardware used to monitor and detect vehicles that enter to a cost congestion area. The second component is responsible for the logical operations business of the system. The document shows advantages of the model of Internet of Things for a Congestion Charges System and other associated challenges.