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基于DEEC车载分簇的交通灯改进配时方案OA北大核心CSTPCD

An Improved Traffic Light Timing Scheme with DEEC Vehicular Clustering Algorithm

中文摘要英文摘要

针对城市道路中十字交叉路口处车辆拥堵、排队等待的问题,在C-V2X(Cellular Vehicle-to-Everything)车载通信系统中,利用改进DEEC(Distributed Energy Efficient Clustering)分簇算法,选择剩余节点能量较高的车辆节点作为簇头,提高簇的生存时间,并通过中继车辆进行信息传输以降低车辆通信时延.同时,利用韦伯斯特(Webster)交通灯改进配时算法进行相应的信号灯相位调度和周期的配时,减少车辆等待时间.通过VISSIM交通仿真建模软件验证Webster交通灯改进配时算法能够减少交叉路口处车辆等待时间,缓解城市道路中的交通拥堵.数值仿真结果表明:该方案降低了车辆通信时延,减少了车辆等待时间,改善了交通拥堵问题.

In cellular vehicle-to-everything (C-V2X) system, aiming at the problems of vehicle congestion and queuing at intersections in urban roads, the improved distributed energy efficient clustering (DEEC) clustering algorithm is presented to select the vehicle node with higher energy of remaining node as the cluster head for improving the survival time of the cluster and utilize the relay vehicle to transmit information for reducing vehicle communication delay. At the same time, the improved Webster traffic light timing algorithm is used to conduct the corresponding signal phase scheduling and cycle timing, and thus reducing the waiting time of vehicles. Finally, the VISSIM traffic simulation modeling software verifies that Webster traffic light improved timing algorithm can reduce vehicle waiting time at intersections and alleviate traffic congestion on urban roads. Numerical simulation results show that the proposed scheme can decrease the communication delay, reduce the waiting time of vehicles and alleviate the urban traffic congestion.

杨紫伊;翟捷萍;肖海林

湖北大学计算机与信息工程学院,武汉 430062桂林电子科技大学认知无线电与信号处理教育部重点实验室,桂林 541004湖北大学计算机与信息工程学院,武汉 430062||桂林电子科技大学认知无线电与信号处理教育部重点实验室,桂林 541004

电子信息工程

C-V2X交通灯配时算法车载通信车辆分簇

C-V2Xtraffic light controlvehicular communicationvehicle clustering

《电子科技大学学报》 2024 (004)

533-541 / 9

国家自然科学基金(61872406);广西自然科学基金(2018GXNSFBA281057);湖北省高等学校优秀中青年科技创新团队计划(T2021001)

10.12178/1001-0548.2023127

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