{"title":"基于模糊理论的区域交通分区研究","authors":"Jie Cao, Ling Zhang","doi":"10.12733/JICS20105728","DOIUrl":null,"url":null,"abstract":"For the problem of sub-region division about regional tra‐c in urban tra‐c network. This paper uses fuzzy control theory to solve the problem, and deflnes adjacent intersections coordination coe‐cient to indicates the degree of association of adjacent intersections, the coe‐cient considers flve factors, they are the intersection distance, signal cycle, tra‐c ∞ow, tra‐c ∞ow impact factor and the queue length. The paper elaborated the in∞uence degree of each in∞uence factor and calculating method. In the end selects the tra‐c network to simulation, and makes intersection average delay time as evaluation index, then uses the adaptive genetic algorithm sub-region agent to control the sub-region, to demonstrate the efiectiveness of the division method.","PeriodicalId":213716,"journal":{"name":"The Journal of Information and Computational Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Sub-region Division of Regional Traffic by Fuzzy Theory\",\"authors\":\"Jie Cao, Ling Zhang\",\"doi\":\"10.12733/JICS20105728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the problem of sub-region division about regional tra‐c in urban tra‐c network. This paper uses fuzzy control theory to solve the problem, and deflnes adjacent intersections coordination coe‐cient to indicates the degree of association of adjacent intersections, the coe‐cient considers flve factors, they are the intersection distance, signal cycle, tra‐c ∞ow, tra‐c ∞ow impact factor and the queue length. The paper elaborated the in∞uence degree of each in∞uence factor and calculating method. In the end selects the tra‐c network to simulation, and makes intersection average delay time as evaluation index, then uses the adaptive genetic algorithm sub-region agent to control the sub-region, to demonstrate the efiectiveness of the division method.\",\"PeriodicalId\":213716,\"journal\":{\"name\":\"The Journal of Information and Computational Science\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Information and Computational Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12733/JICS20105728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Information and Computational Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12733/JICS20105728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Sub-region Division of Regional Traffic by Fuzzy Theory
For the problem of sub-region division about regional tra‐c in urban tra‐c network. This paper uses fuzzy control theory to solve the problem, and deflnes adjacent intersections coordination coe‐cient to indicates the degree of association of adjacent intersections, the coe‐cient considers flve factors, they are the intersection distance, signal cycle, tra‐c ∞ow, tra‐c ∞ow impact factor and the queue length. The paper elaborated the in∞uence degree of each in∞uence factor and calculating method. In the end selects the tra‐c network to simulation, and makes intersection average delay time as evaluation index, then uses the adaptive genetic algorithm sub-region agent to control the sub-region, to demonstrate the efiectiveness of the division method.