Junjie Zhang , Haijian Li , Yongfeng Ma , Chenxiao Zhang , Lingqiao Qin , Na Chen
{"title":"固定时间信号灯交叉口入口区的排队行为建模与优化","authors":"Junjie Zhang , Haijian Li , Yongfeng Ma , Chenxiao Zhang , Lingqiao Qin , Na Chen","doi":"10.1016/j.simpat.2024.102900","DOIUrl":null,"url":null,"abstract":"<div><p>Intelligent vehicles passing through intersections in platoons have the potential to reduce speed fluctuations and improve traffic efficiency. This paper centers on the cooperative optimization of platooning behavior in urban fixed-time signalized intersection scenarios. It delves into the spatial group distribution characteristics of platoons within an intersection entrance lane and employs modeling techniques to vividly portray and express group behaviors, including lane-changing and car-following, across various physical areas within a platoon. Based on real-world traffic data collected in Beijing, SUMO (Simulation of Urban Mobility) is used to build simulation scenarios in this research. Considering both low- and high-volume conditions, the influence of different platoon size combinations on entrance lane traffic efficiency improvement is explored by adjusting the platoon size to determine an ideal vehicle group organization form under a given fixed signal timing. Experimental results show that the optimal platoon sizes and crossing sequences are affected by traffic volume and the number of lanes. For example, when the volume of a single lane in the east entrance straight direction is large (500 or 600 pcu/h/lane), the observed optimal platoon size is 7 to 9 pcu/p (pcu/platoon). These findings indicate that at fixed-time signalized intersections, there exists a reasonable platoon size that optimizes the overall capacity of each entrance, which provides ideas for future vehicle group control.</p></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"132 ","pages":"Article 102900"},"PeriodicalIF":3.5000,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and optimization of platooning behaviors in fixed-time signalized intersection entrance areas\",\"authors\":\"Junjie Zhang , Haijian Li , Yongfeng Ma , Chenxiao Zhang , Lingqiao Qin , Na Chen\",\"doi\":\"10.1016/j.simpat.2024.102900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Intelligent vehicles passing through intersections in platoons have the potential to reduce speed fluctuations and improve traffic efficiency. This paper centers on the cooperative optimization of platooning behavior in urban fixed-time signalized intersection scenarios. It delves into the spatial group distribution characteristics of platoons within an intersection entrance lane and employs modeling techniques to vividly portray and express group behaviors, including lane-changing and car-following, across various physical areas within a platoon. Based on real-world traffic data collected in Beijing, SUMO (Simulation of Urban Mobility) is used to build simulation scenarios in this research. Considering both low- and high-volume conditions, the influence of different platoon size combinations on entrance lane traffic efficiency improvement is explored by adjusting the platoon size to determine an ideal vehicle group organization form under a given fixed signal timing. Experimental results show that the optimal platoon sizes and crossing sequences are affected by traffic volume and the number of lanes. For example, when the volume of a single lane in the east entrance straight direction is large (500 or 600 pcu/h/lane), the observed optimal platoon size is 7 to 9 pcu/p (pcu/platoon). These findings indicate that at fixed-time signalized intersections, there exists a reasonable platoon size that optimizes the overall capacity of each entrance, which provides ideas for future vehicle group control.</p></div>\",\"PeriodicalId\":49518,\"journal\":{\"name\":\"Simulation Modelling Practice and Theory\",\"volume\":\"132 \",\"pages\":\"Article 102900\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Simulation Modelling Practice and Theory\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1569190X24000145\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation Modelling Practice and Theory","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569190X24000145","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Modeling and optimization of platooning behaviors in fixed-time signalized intersection entrance areas
Intelligent vehicles passing through intersections in platoons have the potential to reduce speed fluctuations and improve traffic efficiency. This paper centers on the cooperative optimization of platooning behavior in urban fixed-time signalized intersection scenarios. It delves into the spatial group distribution characteristics of platoons within an intersection entrance lane and employs modeling techniques to vividly portray and express group behaviors, including lane-changing and car-following, across various physical areas within a platoon. Based on real-world traffic data collected in Beijing, SUMO (Simulation of Urban Mobility) is used to build simulation scenarios in this research. Considering both low- and high-volume conditions, the influence of different platoon size combinations on entrance lane traffic efficiency improvement is explored by adjusting the platoon size to determine an ideal vehicle group organization form under a given fixed signal timing. Experimental results show that the optimal platoon sizes and crossing sequences are affected by traffic volume and the number of lanes. For example, when the volume of a single lane in the east entrance straight direction is large (500 or 600 pcu/h/lane), the observed optimal platoon size is 7 to 9 pcu/p (pcu/platoon). These findings indicate that at fixed-time signalized intersections, there exists a reasonable platoon size that optimizes the overall capacity of each entrance, which provides ideas for future vehicle group control.
期刊介绍:
The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.
The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.
Paper submission is solicited on:
• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;
• methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.;
• simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.;
• distributed and real-time simulation, simulation interoperability;
• tools for high performance computing simulation, including dedicated architectures and parallel computing.