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作 者:周晓昕 廖祝华[1] 刘毅志[1] 赵肄江[1] 方艺洁 ZHOU Xiaoxin;LIAO Zhuhua;LIU Yizhi;ZHAO Yijiang;FANG Yijie(School of Computer Science and Engineering,Hunan University of Science and Technology,Xiangtan 411201,Hunan,China)
机构地区:[1]湖南科技大学计算机科学与工程学院,湖南湘潭411201
出 处:《山东大学学报(工学版)》2023年第4期48-55,共8页Journal of Shandong University(Engineering Science)
基 金:国家自然科学基金资助项目(41871320);湖南省自然科学基金资助项目(2021JJ30276)。
摘 要:针对当前信号灯配时方法应对低高峰期车流量与方向的频繁变换困难问题,提出一种融合历史与当前交通流量的交通信号控制方法。提出基于历史交通数据的路口各方向车流量的规律预测模型、规律与实时车流量学习的融合模型、各相位信号灯最佳信号周期和绿灯时间估计算法。使用真实道路交通数据在交通仿真模拟器(simulation of urban mobility,SUMO)进行仿真试验,结果表明:与定时控制、模糊控制等方法对比,本研究提出的方法减少了车辆的等待时间与等待队伍的长度;通过多个不同类型路口信号灯的综合分析,能够整体提高城市道路出行与服务质量,提升交通运行效率。This study proposed a traffic signal control method that integrated the history and current traffic flow,aiming at the difficulty of the current signal timing method to cope with the frequent change of traffic flow and direction at low peak hours.This method proposed a regular prediction model of traffic flow in each direction of the intersection based on historical traffic data;A fusion model of laws and realtime traffic flow learning was proposed;The optimal signal period and green light time estimation algorithm of each phase signal lamp was proposed.In the experiment,real road traffic data was used to carry out the simulation experiment in the traffic simulation simulator SUMO(simulation of urban mobility).The results showed that compared with timing control,fuzzy control and other methods,the method proposed in this study significantly reduced the waiting time of vehicles and the length of waiting queue;Through the comprehensive analysis of several different types of intersection signal lights,this research method was also able to improve the overall quality of urban road travel and service,improve the efficiency of traffic operation and other advantages.
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