城市干线交通信号协调控制方法及优化研究

发布时间：2018-01-12 02:29

本文关键词：城市干线交通信号协调控制方法及优化研究　出处：《西南交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来由于我国经济的快速发展和城市路网规模的不断扩大,城市机动车辆的保有量不断增加,使得各类城市交通问题不断地涌现出来如交通拥堵、交通事故的频发、环境污染等。城市交通问题已经严重影响人们的日常出行和社会经济发展。交叉口是城市交通路网的交汇点,也是产生各类交通问题的症结点,合理实现交叉口的控制能有效提高城市路网的通行能力。研究交叉口信号控制是解决城市交通问题的一个重要的思考方向。干线交通是城市交通路网的重要组成部分,干线控制是否合理有效,将直接影响到整个城市路网是否能快速有效的运行。本文将以相邻路口协调控制为基础来研究城市干线协调控制。由于城市交通具有随机性,时变性和非线性的特点,传统的干线协调控制方式已经不能适应现代快速发展的交通要求。因此智能交通控制在城市交通控制中得到了广泛的应用,把模糊控制应用到城市交通信号控制中,是智能交通发展的一个重要方向。本文首先介绍了城市交通信号控制基本理论知识,阐述了交通信号控制意义。重点研究分析相邻交叉口的协调控制,分析相邻交叉口的交通流特性,在经典的交叉口模糊控制的基础上改进设两级模糊控制器。通过仿真数据表明两级模糊控制能实现比较好的协调控制。其次,研究了城市干线协调控制基本原理,分析了现有的干线协调控制方式的特点和不足,借鉴相邻交叉口的协调控制方式,设计了干线的分层式协调控制,第一层为系统协调层主要完成干线控制系统的信号周期和协调相邻交叉口的相位差的配时功能。第二层是交叉口的控制单元,主要完成相位绿灯的延时和切换的功能。通过MATLAB7.10进行了实验仿真,并对比了传统的基于相位差的干线协调控制。最后对干线协调控制进行了优化处理。模糊控制中由于隶属度和模糊规则的选取是由交通经验和专家经验设定不一定能适应交通流的变化,针对隶属度函数采用了遗传算法进行了优化。通过仿真数据表明优化后的模糊控制能实现更有效的协调控制。
[Abstract]:In recent years, due to the rapid development of our economy and the expansion of urban road network, the number of urban motor vehicles has been increasing, resulting in a variety of urban traffic problems, such as traffic congestion. The frequent occurrence of traffic accidents, environmental pollution and so on. Urban traffic problems have seriously affected people's daily travel and social and economic development. Intersection is not only the intersection of urban traffic network, but also the crux of all kinds of traffic problems. Rational control of intersections can effectively improve the capacity of urban road networks. The study of intersection signal control is an important thinking direction to solve urban traffic problems. Trunk traffic is an important component of urban traffic network. Part. Whether the trunk line control is reasonable or effective will directly affect whether the whole urban network can run quickly and effectively. This paper will study the coordinated control of urban trunk lines based on the coordinated control of adjacent junctions. Due to the randomness, time-varying and nonlinear characteristics of urban traffic. The traditional coordinated control of trunk lines can not meet the requirements of modern and rapid development of traffic, so intelligent traffic control has been widely used in urban traffic control. The application of fuzzy control to urban traffic signal control is an important direction in the development of intelligent transportation. In this paper, the basic theory of urban traffic signal control is introduced, and the significance of traffic signal control is expounded. The emphasis is on the analysis of the coordinated control of adjacent intersections and the analysis of traffic flow characteristics of adjacent intersections. Based on the classical fuzzy control of intersection, the two-stage fuzzy controller is improved, and the simulation results show that the two-stage fuzzy control can achieve better coordinated control. Secondly, the basic principle of coordinated control of urban trunk line is studied, and the characteristics and shortcomings of the existing coordinated control mode of trunk line are analyzed. The hierarchical coordinated control of trunk line is designed based on the coordination control mode of adjacent intersections. The first layer is the system coordination layer, which mainly completes the signal cycle of the trunk line control system and coordinates the timing function of the phase difference of the adjacent intersections. The second layer is the control unit of the intersection. The functions of delay and switching of phase green light are mainly completed. The experimental simulation is carried out by MATLAB7.10, and the traditional coordinated control based on phase difference is compared. Finally, the coordinated control of trunk lines is optimized. The selection of membership degree and fuzzy rules is not always adapted to traffic flow change by setting traffic experience and expert experience in fuzzy control. The genetic algorithm is used to optimize the membership function, and the simulation results show that the optimized fuzzy control can achieve more effective coordinated control.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.54

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