{"title":"基于多智能体的交通流预测支持系统","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":"{\"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}","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}
A traffic flow forecast supported system based multi-agent
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.