{"title":"基于实时流量预测的信号交叉口动态优化周期时间模型","authors":"Jindong Yang, Dongyuan Yang","doi":"10.1109/ITSC.2003.1252656","DOIUrl":null,"url":null,"abstract":"Through the analysis of the characteristics of traffic flow in intersections, this paper proposes a dynamically optimized cycle time model, which is optimized form twofold-programming for signalized intersections. As a result, two optimized objects minimize vehicle delay, while effectively maximizing the flow rate in intersections. The scheme demonstrated for this model and its algorithm can be dynamically adjusted in time under the guidance of real-time flow forecasting.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A dynamically optimized cycle time model based on real-time flow forecasting for signalized intersection\",\"authors\":\"Jindong Yang, Dongyuan Yang\",\"doi\":\"10.1109/ITSC.2003.1252656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Through the analysis of the characteristics of traffic flow in intersections, this paper proposes a dynamically optimized cycle time model, which is optimized form twofold-programming for signalized intersections. As a result, two optimized objects minimize vehicle delay, while effectively maximizing the flow rate in intersections. The scheme demonstrated for this model and its algorithm can be dynamically adjusted in time under the guidance of real-time flow forecasting.\",\"PeriodicalId\":123155,\"journal\":{\"name\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2003.1252656\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2003.1252656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A dynamically optimized cycle time model based on real-time flow forecasting for signalized intersection
Through the analysis of the characteristics of traffic flow in intersections, this paper proposes a dynamically optimized cycle time model, which is optimized form twofold-programming for signalized intersections. As a result, two optimized objects minimize vehicle delay, while effectively maximizing the flow rate in intersections. The scheme demonstrated for this model and its algorithm can be dynamically adjusted in time under the guidance of real-time flow forecasting.
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