{"title":"The Application of Crisscross Optimization Algorithm to Dynamic Traffic Assignment Problem","authors":"Jingying Wang, Jianhua Qu","doi":"10.1109/ITME.2016.0184","DOIUrl":null,"url":null,"abstract":"Obtaining the optimal travel time on dynamic traffic assignment(DTA) is very important for intelligent traffic system (ITS). A lot of approaches have been applied for DTA to make the travel time costing least, but current algorithms cannot be solved to guarantee optimality. In this paper, a method based on crisscross optimization algorithm(CSO) is introduced to solve DTA problem. This novel algorithm adopts a double-crisscross search mechanism. It differs from algorithms given in introduction. It uses crisscross programming to enhance performance. This paper aims at time-varying flows in dynamic system optimal model and using CSO algorithm to solve it. At last, we obtain traffic flow distribution data by designing a numerical example and employing simulation. We realized this algorithm converges to the optimal final solution.","PeriodicalId":184905,"journal":{"name":"2016 8th International Conference on Information Technology in Medicine and Education (ITME)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Information Technology in Medicine and Education (ITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITME.2016.0184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Obtaining the optimal travel time on dynamic traffic assignment(DTA) is very important for intelligent traffic system (ITS). A lot of approaches have been applied for DTA to make the travel time costing least, but current algorithms cannot be solved to guarantee optimality. In this paper, a method based on crisscross optimization algorithm(CSO) is introduced to solve DTA problem. This novel algorithm adopts a double-crisscross search mechanism. It differs from algorithms given in introduction. It uses crisscross programming to enhance performance. This paper aims at time-varying flows in dynamic system optimal model and using CSO algorithm to solve it. At last, we obtain traffic flow distribution data by designing a numerical example and employing simulation. We realized this algorithm converges to the optimal final solution.