{"title":"The application of genetic algorithm to dynamic traffic assignment","authors":"Runmei Li, Wei Li","doi":"10.1109/IVS.2005.1505207","DOIUrl":null,"url":null,"abstract":"In this paper, the applications of genetic algorithms to dynamic traffic assignment are analyzed based on a dynamic traffic assignment variational inequality model and the condition of physical queue is studied in this model. A simple example is used to demonstrate the efficiency of the genetic algorithms. The conclusions and directions for future development about the application of genetic algorithm to traffic assignment are presented.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2005.1505207","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
In this paper, the applications of genetic algorithms to dynamic traffic assignment are analyzed based on a dynamic traffic assignment variational inequality model and the condition of physical queue is studied in this model. A simple example is used to demonstrate the efficiency of the genetic algorithms. The conclusions and directions for future development about the application of genetic algorithm to traffic assignment are presented.