V. Astarita, Vincenzo Pasquale Giofrè, G. Guido, A. Vitale, D. C. Festa
{"title":"Floating Car Data Adaptive Traffic Signals","authors":"V. Astarita, Vincenzo Pasquale Giofrè, G. Guido, A. Vitale, D. C. Festa","doi":"10.1109/DS-RT47707.2019.8958659","DOIUrl":null,"url":null,"abstract":"Two new technologies are going to shape the future of traffic management and control: “connected” and “autonomous” vehicles. The possibility of gathering information from vehicles travelling on the road and the use of this information for better traffic management is receiving a growing attention from the scientific community. The purpose of this study is to present the architecture of a dedicated system for traffic signal real time regulation based on data coming from “connected” vehicles. The system presented in this paper has been implemented on the field in a dedicated experimental intersection site to assess performances of the system in actual use. Results of the experiments carried on with the presented system will establish the feasibility and the advantages of FCD adaptive traffic signals and will help to develop better regulation algorithms for this kind of new “connected” intersections.","PeriodicalId":377914,"journal":{"name":"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DS-RT47707.2019.8958659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Two new technologies are going to shape the future of traffic management and control: “connected” and “autonomous” vehicles. The possibility of gathering information from vehicles travelling on the road and the use of this information for better traffic management is receiving a growing attention from the scientific community. The purpose of this study is to present the architecture of a dedicated system for traffic signal real time regulation based on data coming from “connected” vehicles. The system presented in this paper has been implemented on the field in a dedicated experimental intersection site to assess performances of the system in actual use. Results of the experiments carried on with the presented system will establish the feasibility and the advantages of FCD adaptive traffic signals and will help to develop better regulation algorithms for this kind of new “connected” intersections.