{"title":"基于高效红绿灯调度算法的绿色道路交叉口","authors":"Maram Bani Younes, A. Boukerche","doi":"10.1145/3479240.3488508","DOIUrl":null,"url":null,"abstract":"Reducing the fuel consumption and gas emissions of traveling vehicles over the road networks have been intensively investigated over the road networks. Vehicles produce a high percentage of pollution to the atmosphere that encourages governments and organizations to invest and work toward reducing their emissions. The behavior of the same vehicle varies over downtown and highway scenarios in terms of efficiency and pollution parameters. This is due to the effects of the architectural design of the traversed road and the driving behavior. In this work, we propose an efficient traffic light scheduling algorithm. It considers the real-time traffic characteristics of the competing traffic flows at a signalized road intersection. This is to produce an efficient schedule that minimizes the total required fuel of vehicles and produces less emissions while passing safely through that intersection. An extensive set of experiments have been used to verify the performance of the proposed scheduling algorithm compared to other efficient traffic light scheduling algorithms.","PeriodicalId":55557,"journal":{"name":"Ad Hoc & Sensor Wireless Networks","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Green Road Intersections by Efficient Traffic Light Scheduling Algorithm\",\"authors\":\"Maram Bani Younes, A. Boukerche\",\"doi\":\"10.1145/3479240.3488508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reducing the fuel consumption and gas emissions of traveling vehicles over the road networks have been intensively investigated over the road networks. Vehicles produce a high percentage of pollution to the atmosphere that encourages governments and organizations to invest and work toward reducing their emissions. The behavior of the same vehicle varies over downtown and highway scenarios in terms of efficiency and pollution parameters. This is due to the effects of the architectural design of the traversed road and the driving behavior. In this work, we propose an efficient traffic light scheduling algorithm. It considers the real-time traffic characteristics of the competing traffic flows at a signalized road intersection. This is to produce an efficient schedule that minimizes the total required fuel of vehicles and produces less emissions while passing safely through that intersection. An extensive set of experiments have been used to verify the performance of the proposed scheduling algorithm compared to other efficient traffic light scheduling algorithms.\",\"PeriodicalId\":55557,\"journal\":{\"name\":\"Ad Hoc & Sensor Wireless Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ad Hoc & Sensor Wireless Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3479240.3488508\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ad Hoc & Sensor Wireless Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3479240.3488508","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Green Road Intersections by Efficient Traffic Light Scheduling Algorithm
Reducing the fuel consumption and gas emissions of traveling vehicles over the road networks have been intensively investigated over the road networks. Vehicles produce a high percentage of pollution to the atmosphere that encourages governments and organizations to invest and work toward reducing their emissions. The behavior of the same vehicle varies over downtown and highway scenarios in terms of efficiency and pollution parameters. This is due to the effects of the architectural design of the traversed road and the driving behavior. In this work, we propose an efficient traffic light scheduling algorithm. It considers the real-time traffic characteristics of the competing traffic flows at a signalized road intersection. This is to produce an efficient schedule that minimizes the total required fuel of vehicles and produces less emissions while passing safely through that intersection. An extensive set of experiments have been used to verify the performance of the proposed scheduling algorithm compared to other efficient traffic light scheduling algorithms.
期刊介绍:
Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.