{"title":"基于仿真的动态交通分配启发式算法","authors":"C. Tong, S. C. Wong","doi":"10.1080/18128600802630281","DOIUrl":null,"url":null,"abstract":"This study reviews and compares two heuristic algorithms: methods of successive averages and route swapping, which are commonly used in simulation-based dynamic traffic assignment models. A new hybrid algorithm that has the advantages of both algorithms is introduced. As finding a unique solution cannot be guaranteed, the concept of solution reliability is suggested for the formulation of convergence criterion. An example network is used to illustrate the method.","PeriodicalId":49416,"journal":{"name":"Transportmetrica","volume":"6 1","pages":"120 - 97"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/18128600802630281","citationCount":"11","resultStr":"{\"title\":\"Heuristic algorithms for simulation-based dynamic traffic assignment\",\"authors\":\"C. Tong, S. C. Wong\",\"doi\":\"10.1080/18128600802630281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study reviews and compares two heuristic algorithms: methods of successive averages and route swapping, which are commonly used in simulation-based dynamic traffic assignment models. A new hybrid algorithm that has the advantages of both algorithms is introduced. As finding a unique solution cannot be guaranteed, the concept of solution reliability is suggested for the formulation of convergence criterion. An example network is used to illustrate the method.\",\"PeriodicalId\":49416,\"journal\":{\"name\":\"Transportmetrica\",\"volume\":\"6 1\",\"pages\":\"120 - 97\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/18128600802630281\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportmetrica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/18128600802630281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportmetrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/18128600802630281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Heuristic algorithms for simulation-based dynamic traffic assignment
This study reviews and compares two heuristic algorithms: methods of successive averages and route swapping, which are commonly used in simulation-based dynamic traffic assignment models. A new hybrid algorithm that has the advantages of both algorithms is introduced. As finding a unique solution cannot be guaranteed, the concept of solution reliability is suggested for the formulation of convergence criterion. An example network is used to illustrate the method.