{"title":"A traffic flow forecast supported system based multi-agent","authors":"Shoufeng Ma, G. He, Shi-tong Wang","doi":"10.1109/ITSC.2001.948731","DOIUrl":null,"url":null,"abstract":"The real time forecast of traffic flow is the function of intelligent transport systems (ITS), and no one of the forecasting methods dominates the others obviously in all conditions. An intelligent forecasting system built on many forecasting models is proposed and the emphases of the system is the expression of knowledge, design and implementation of the model base and the choosing the model which is implemented by multi-agent theory. The forecasting results of the system under simulation are compared with the results given by single model.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2001.948731","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
The real time forecast of traffic flow is the function of intelligent transport systems (ITS), and no one of the forecasting methods dominates the others obviously in all conditions. An intelligent forecasting system built on many forecasting models is proposed and the emphases of the system is the expression of knowledge, design and implementation of the model base and the choosing the model which is implemented by multi-agent theory. The forecasting results of the system under simulation are compared with the results given by single model.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
