查询结果:   邱建东,解小平,汤旻安,佘飞.基于车流量的智能交通信号优化控制研究[J].计算机应用与软件,2018,35(1):92 - 96.
中文标题
基于车流量的智能交通信号优化控制研究
发表栏目
应用技术与研究
摘要点击数
577
英文标题
RESEARCH ON INTELLIGENT TRAFFIC SIGNAL OPTIMIZATION CONTROL BASED ON TRAFFIC FLOW
作 者
邱建东 解小平 汤旻安 佘飞 Qiu Jiandong Xie Xiaoping Tang Min’an She Fei
作者单位
兰州交通大学机电工程学院 甘肃 兰州 730070)  兰州交通大学新能源与动力工程学院 甘肃 兰州 730070    
英文单位
School of Mechatronics Engineering, Lanzhou Jiaotong University, Lanzhou 730070,Gansu,China School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070,Gansu,China    
关键词
智能交通 交叉路口 车流量 轮询控制 交通灯配时
Keywords
Intelligent transportation Intersection Vehicle flow Polling control Traffic signal timing
基金项目
国家自然科学基金项目(61663021);甘肃省自然科学基金项目(1610RJZZ048)
作者资料
邱建东,副教授,主研领域:软计算技术及人工智能算法,智能交通。解小平,硕士生。汤旻安,副教授,博士。佘飞,硕士生。 。
文章摘要
道路交叉口是城市交通网络的关键组成部分,其通行效率直接决定了城市交通网络的通行能力。为了提高城市交通路网的通行能力,缓解交通拥堵,根据相邻交叉路口车流量具有相关性的特点,提出一种基于车流量的智能交通信号控制方法。建立基于门限服务策略的交通灯轮询控制模型,利用马尔科夫链和概率母函数分析了交叉口车辆平均排队长度和信号灯配时方案,并根据实际交通情况进行仿真实验。结果表明,基于车流量的智能交通信号控制比传统的固定配时控制更加合理,能有效地降低车辆通过交叉口时的平均延误时长和排队长度,提高通行效率。
Abstract
The traffic intersection is the key component of urban traffic network and its traffic efficiency directly determines the traffic capacity of urban traffic network. In order to improve the traffic capacity of urban traffic network and alleviate traffic congestion, an intelligent traffic signal control method was proposed based on traffic flow. The method built a traffic light polling control model based on the threshold service strategy, analyzed the average queuing length and signal timing scheme of vehicles at intersections by using Markov chain and probability mother function, and carried out simulation experiments according to actual traffic conditions. The results showed that the intelligent traffic signal control based on traffic flow was more reasonable than the traditional fixed-time control, which could effectively reduce the average delay and queuing length of vehicles passing the intersection, and improved the traffic efficiency.
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