Kai Lu , Shuyan Jiang , Wuping Xin , Jiehua Zhang , Kezhi He
{"title":"Algebraic method of regional green wave coordinated control","authors":"Kai Lu , Shuyan Jiang , Wuping Xin , Jiehua Zhang , Kezhi He","doi":"10.1080/15472450.2022.2084335","DOIUrl":null,"url":null,"abstract":"<div><div>This study proposes an algebraic method of regional green wave coordinated control (AM-RGWCC) that can operate efficiently. The research on regional green wave coordinated control (RGWCC) has gradually become a hot spot, improving the overall operational efficiency of the control area more comprehensively and systematically. We usually encounter the difficulties of many constraints, high complexity, and low efficiency when using the modeling method to solve the RGWCC problem. AM-RGWCC is developed in this study to overcome these challenges. The overall coordinated effect is assured by realizing the comprehensive optimization of phase sequence, offset, and common signal cycle. A step-by-step design of AM-RGWCC is established to reduce the complexity by analyzing the comprehensive influence of offset difference and bias distance on the green wave bandwidth. Finally, the case study shows that for a three-by-three road network, an ideal scheme can be obtained by AM-RGWCC to maximize the green wave bandwidth in one second. The green wave bandwidth of each intersection accounts for more than 84%. The results illustrate that the coordinated effect and solving efficiency are significantly improved. The proposed algebraic method will have certain advantages in the RGWCC design of a large-scale road network.</div></div>","PeriodicalId":54792,"journal":{"name":"Journal of Intelligent Transportation Systems","volume":"27 6","pages":"Pages 799-817"},"PeriodicalIF":2.8000,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intelligent Transportation Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S1547245023000026","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
This study proposes an algebraic method of regional green wave coordinated control (AM-RGWCC) that can operate efficiently. The research on regional green wave coordinated control (RGWCC) has gradually become a hot spot, improving the overall operational efficiency of the control area more comprehensively and systematically. We usually encounter the difficulties of many constraints, high complexity, and low efficiency when using the modeling method to solve the RGWCC problem. AM-RGWCC is developed in this study to overcome these challenges. The overall coordinated effect is assured by realizing the comprehensive optimization of phase sequence, offset, and common signal cycle. A step-by-step design of AM-RGWCC is established to reduce the complexity by analyzing the comprehensive influence of offset difference and bias distance on the green wave bandwidth. Finally, the case study shows that for a three-by-three road network, an ideal scheme can be obtained by AM-RGWCC to maximize the green wave bandwidth in one second. The green wave bandwidth of each intersection accounts for more than 84%. The results illustrate that the coordinated effect and solving efficiency are significantly improved. The proposed algebraic method will have certain advantages in the RGWCC design of a large-scale road network.
期刊介绍：
The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information, dynamic feedback and automation that allow people and goods to move efficiently. They encompass the full scope of information technologies used in transportation, including control, computation and communication, as well as the algorithms, databases, models and human interfaces. The emergence of these technologies as a new pathway for transportation is relatively new.
The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption.
The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems. The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation. Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS.
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