{"title":"城市交通控制策略在联合仿真框架下的测试","authors":"A. Insuasty, G. Coral, A. Pantoja","doi":"10.1109/CCAC.2019.8921082","DOIUrl":null,"url":null,"abstract":"The management of urban traffic is a challenging task due to its complexity and importance in modern cities. This work propoeses two control strategies for a study case developed in a co-simulation platform between a specialized traffic simulator (VISSIM) and Matlab to implement the control methods. The proposed strategies (Particle Swarm Optimization and Replicator Dynamics) are compared with a fixed-time technique (Webster) to analize the influence of the adaptive methods on some performance indexes such as queue lenghts, vehicle fluxes, and fuel consumption in a real network.","PeriodicalId":184764,"journal":{"name":"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Control Strategies for Urban Traffic Tested in a Co-Simulation Framework\",\"authors\":\"A. Insuasty, G. Coral, A. Pantoja\",\"doi\":\"10.1109/CCAC.2019.8921082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The management of urban traffic is a challenging task due to its complexity and importance in modern cities. This work propoeses two control strategies for a study case developed in a co-simulation platform between a specialized traffic simulator (VISSIM) and Matlab to implement the control methods. The proposed strategies (Particle Swarm Optimization and Replicator Dynamics) are compared with a fixed-time technique (Webster) to analize the influence of the adaptive methods on some performance indexes such as queue lenghts, vehicle fluxes, and fuel consumption in a real network.\",\"PeriodicalId\":184764,\"journal\":{\"name\":\"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCAC.2019.8921082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th Colombian Conference on Automatic Control (CCAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAC.2019.8921082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control Strategies for Urban Traffic Tested in a Co-Simulation Framework
The management of urban traffic is a challenging task due to its complexity and importance in modern cities. This work propoeses two control strategies for a study case developed in a co-simulation platform between a specialized traffic simulator (VISSIM) and Matlab to implement the control methods. The proposed strategies (Particle Swarm Optimization and Replicator Dynamics) are compared with a fixed-time technique (Webster) to analize the influence of the adaptive methods on some performance indexes such as queue lenghts, vehicle fluxes, and fuel consumption in a real network.
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