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作 者:王智慧 谭一帆 蒲云[1] 李思成 WANG Zhihui;TAN Yifan;PU Yun;LI Sicheng(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China)
机构地区:[1]西南交通大学,交通运输与物流学院,四川成都610031
出 处:《综合运输》2022年第3期77-80,共4页China Transportation Review
摘 要:车联网技术的发展给城市信号控制带来了机遇,但是车联网环境建设需要一段较长的时间,本文将车联网发展过程中智能网联车和非网联车混行的过渡阶段称为不完全车联网环境。针对不完全车联网环境下城市孤立交叉口信号配时问题,提出了基于双环相位进行相序优化的模糊控制方法。该方法基于双环相位对相序进行优化,模糊控制系统的输入为绿灯相位排队车辆数和红灯相位排队车辆数,输出绿灯延长时间。对SUMO仿真软件进行二次开发,实现该相序优化的模糊控制方法,并且将其与定时控制和模糊控制方法进行比较。仿真结果表明,当智能网联车和非智能网联车混行时,相序优化后的模糊控制方法能够有效的减少车辆的平均等待时间。The development of Internet of Vehicles technology,has brought opportunities for urban signal control.However,the construction of the Internet of Vehicles environment takes a long time.This article refers to the transitional stage of the mixed operation of intelligent and non-intelligent connected vehicles in the development of Internet of Vehicles as an incomplete Internet of Vehicles environment.Aiming at the signal timing problem of urban isolated intersections under the environment of incomplete car networking,a fuzzy control method based on phase sequence optimization of dual loop phases is proposed.This method optimizes the phase sequence based on the dual-loop phase.The input of the fuzzy control system is the number of vehicles queued in the green light phase and the number of vehicles queued in the red light phase,and the green light is output to extend the time.The second development of the SUMO simulation software is carried out to realize the fuzzy control method of the phase sequence optimization,and compare it with the timing control and the fuzzy control method.The simulation results show that the fuzzy control method after phase sequence optimization can effectively reduce the average waiting time of the vehicle when the intelligent networked vehicle and the non-intelligent networked vehicle are mixed.
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