{"title":"The Intelligent Traffic Control Model of Multiphase Intersection with Variable Phase Sequence","authors":"Liming Gao","doi":"10.1109/DCABES.2017.50","DOIUrl":null,"url":null,"abstract":"Considering the intelligent transportation system with fixed phase sequence of fuzzy control, a fuzzy model of control algorithm with variable phase sequence is built. The fuzzy control algorithm is discussed. This paper designs green light controller for the delay time and the phase selection controller, then stimulates the process and analyzes the conclusion. Compared with the traditional control method, the optimization effect is remarkable. The numerical results are better then the one of traditional control method, and is helpful to further design and study the intelligent transportation system.","PeriodicalId":446641,"journal":{"name":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2017.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Considering the intelligent transportation system with fixed phase sequence of fuzzy control, a fuzzy model of control algorithm with variable phase sequence is built. The fuzzy control algorithm is discussed. This paper designs green light controller for the delay time and the phase selection controller, then stimulates the process and analyzes the conclusion. Compared with the traditional control method, the optimization effect is remarkable. The numerical results are better then the one of traditional control method, and is helpful to further design and study the intelligent transportation system.