{"title":"交叉优化算法在动态交通分配问题中的应用","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":"{\"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}","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}
The Application of Crisscross Optimization Algorithm to Dynamic Traffic Assignment Problem
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.