{"title":"多相交叉口的有效交通信号控制","authors":"F. Bouriachi, B. Tolbi, K. Saidi, O. K. Kloucha","doi":"10.1145/3388218.3388223","DOIUrl":null,"url":null,"abstract":"In this paper, we present an efficient traffic signal control strategy for multi-phase intersections. This strategy is used to determine the signal timing for fully actuated traffic control, keeping effective phases times on each cycle. The obtund values can be used to estimate the delay of vehicles. We show that the proposed strategy can be formulated as a nonlinear programming problem, solved by continuous genetic algorithm. We illustrate the proposed control strategy with several traffic scenarios based on real data collected from an existing complex multi-phase intersection in Algiers, Algeria. The experiment results show that the traffic signal plan obtained by the proposed control approach outperforms those currently used traffic signal control strategies under various demand scenarios.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Traffic Signal Control for Multi-phase Intersections\",\"authors\":\"F. Bouriachi, B. Tolbi, K. Saidi, O. K. Kloucha\",\"doi\":\"10.1145/3388218.3388223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present an efficient traffic signal control strategy for multi-phase intersections. This strategy is used to determine the signal timing for fully actuated traffic control, keeping effective phases times on each cycle. The obtund values can be used to estimate the delay of vehicles. We show that the proposed strategy can be formulated as a nonlinear programming problem, solved by continuous genetic algorithm. We illustrate the proposed control strategy with several traffic scenarios based on real data collected from an existing complex multi-phase intersection in Algiers, Algeria. The experiment results show that the traffic signal plan obtained by the proposed control approach outperforms those currently used traffic signal control strategies under various demand scenarios.\",\"PeriodicalId\":345276,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3388218.3388223\",\"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 2019 International Conference on Artificial Intelligence, Robotics and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388218.3388223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient Traffic Signal Control for Multi-phase Intersections
In this paper, we present an efficient traffic signal control strategy for multi-phase intersections. This strategy is used to determine the signal timing for fully actuated traffic control, keeping effective phases times on each cycle. The obtund values can be used to estimate the delay of vehicles. We show that the proposed strategy can be formulated as a nonlinear programming problem, solved by continuous genetic algorithm. We illustrate the proposed control strategy with several traffic scenarios based on real data collected from an existing complex multi-phase intersection in Algiers, Algeria. The experiment results show that the traffic signal plan obtained by the proposed control approach outperforms those currently used traffic signal control strategies under various demand scenarios.