摘要
提出了一种基于5G-CV2X的多路口智慧公交绿波通行方法。该方法通过5G-CV2X设备实时采集公交车行驶状态(速度、位置等)、公交车与当前路口的距离、路口位置和红绿灯的相位,云端使用基于遗传的非侵入式信号控制算法对多个路口红绿灯相位时长和公交车车速进行全局优化,然后云端将全局优化后的行车建议速度和指导相位通过5G发送至公交车和信号机,实现多路口绿波通行。实际道路测试验证,该方法能够实现多路口公交快速绿波通行,提升了公交系统的运行效率。
A 5G-CV2X-based multi-intersection smart bus green wave access method was proposed.The method collects the bus traveling status(speed,position,etc.),the distance between the bus and the current intersection,the intersection position,and the phase of the traffic lights in real time through 5G-CV2X devices,and the cloud uses a genetic-based non-intrusive signal control algorithm to globally optimize the duration of the traffic light phases and the speed of the buses at multiple intersections,and then the cloud sends the globally optimized traveling recommended speeds and guided phases to the buses and signals through the 5G Then the cloud sends the globally optimized driving speed and guiding phase to the bus and signal machine via 5G,realizing the green wave passage at multiple intersections.The actual road test verified that the method could realize multi-intersection bus rapid green wave passage and improve the operation efficiency of the bus system.
作者
马小陆
徐立伟
唐得志
李国强
齐晶晶
瞿元
MA Xiaolu;XU Liwei;TANG Dezhi;LI Guoqiang;QI Jingjing;QU Yuan(School of Electrical and Information Engineering,Anhui University of Technology,Maanshan 243002,China;Wuhu Technology and Innovation Research,Anhui University of Technology,Maanshan 243002,China;Anhui Dar Intelligent Control System Co.,Ltd.,Wuhu 241002,China;Chery Automobile Co.,Ltd.,Wuhu 241006,China)
出处
《沈阳大学学报（自然科学版）》
CAS
2024年第4期331-340,共10页
Journal of Shenyang University：Natural Science
基金
国家自然科学基金资助项目(62172004,61872004)
安徽省科技重大专项项目(202003a05020028)
安徽省高校协同创新项目(GXXT-2023-020)
芜湖市核心技术攻关科技计划项目(2022hg10)。
关键词
公交优先
车路云协同
V2X
5G
遗传算法
transit priority
vehicle-road-cloud collaboration
V2X
5G
adaptive genetic algorithm
