城市交叉口信号配时算法设计及其VISSIM仿真研究

发布时间：2018-03-28 14:51

本文选题：城市交通系统　切入点：信号控制　出处：《青岛科技大学》2015年硕士论文

【摘要】：近年来,随着我国经济的健康发展,城镇化速度明显加快,大中城市的交通拥堵问题日益严重,已经引起了广泛关注。交叉口是不同方向的道路交汇之地,也是最容易发生交通拥堵的地方。提高城市交通运行效率的措施有很多,其中最行之有效的方法是设计合理的交通信号控制策略。实际交通控制过程中,城市道路上的交通流具有很强的非线性和复杂性。利用现有的道路资源,如何将先进的控制方法应用到城市交叉口信号控制中已经成为一个亟需解决的问题。本文考虑时间延误因素,提出了基于延误的定时信号控制算法。进一步,根据城市交通具有重复性和周期性的特点,提出了将迭代学习控制方法应用到交叉口信号控制中,取得了较好的控制效果。本文的主要内容及创新点如下：1.论文深入分析了城市信号控制的特点和难点,介绍了城市信号控制领域的发展现状与实际应用情况。着重研究了信号控制中的主要控制参数和评价指标。通过对经典信号控制系统原理和配时方案研究,确定了以模型建立和信号控制设计为基础的研究策略。2.为准确描述交通流变化,建立了城市信号控制的宏观交通模型,并分析速度—流量模型在城市交叉口的信号方案设计与仿真研究中的重要性。研究了信号控制下车辆在十字路口处的运行规律,提出了基于延误时间的定时信号控制方法,结合交通仿真工具VISSIM完成了三相位信号配时的设计工作。利用VISSIM微观交通工具进行路网的建立,并实现了实时交通流模拟仿真,仿真结果验证所提出方法的有效性。3.结合城市交叉口系统的重复性和周期性的特点,利用均衡控制的思想,以各相位排队长度差值作为系统输出,提出了基于迭代学习控制的信号控制方法。与传统的定时控制不同,基于迭代学习的交通控制可以依据以前周期的实时交通运行状况进行信号方案调整。借助交通仿真工具VISSIM完成本文提出的控制算法的仿真验证。从仿真结果可以看出,城市信号灯配时的迭代学习控制方法在车辆排队长度差值、车辆运行总量以及车辆平均延误等性能指标上都要优于定时信号控制,从而表明本文提出的方法非常适合解决城市交通拥堵问题。
[Abstract]:In recent years, with the healthy development of our country's economy, the speed of urbanization is quickening obviously, and the traffic congestion problem in large and medium-sized cities is becoming more and more serious, which has aroused widespread concern. The intersection is a place where the roads meet in different directions. There are many measures to improve the efficiency of urban traffic operation. The most effective method is to design reasonable traffic signal control strategy. In the actual traffic control process, Traffic flows on urban roads are highly nonlinear and complex. How to apply advanced control methods to the signal control of urban intersections has become a problem that needs to be solved. In this paper, a timing signal control algorithm based on delay is proposed considering the factors of time delay. According to the reproducibility and periodicity of urban traffic, the iterative learning control method is applied to the intersection signal control. The main contents and innovations of this paper are as follows: 1.The paper deeply analyzes the characteristics and difficulties of urban signal control. This paper introduces the development status and practical application of urban signal control field. The main control parameters and evaluation indexes in signal control are emphatically studied. The principle and timing scheme of classical signal control system are studied. The research strategy based on model building and signal control design is determined. 2. In order to accurately describe the change of traffic flow, the macro traffic model of urban signal control is established. The importance of velocity-flow model in the signal scheme design and simulation of urban intersections is analyzed. The running rule of vehicles at intersections under signal control is studied, and a timing signal control method based on delay time is proposed. Combined with the traffic simulation tool VISSIM, the design of the three-phase signal timing is completed. The road network is built by using the VISSIM microscopic vehicle, and the real-time traffic flow simulation is realized. The simulation results verify the effectiveness of the proposed method. 3. Combined with the repeatability and periodicity of the urban intersection system, using the idea of equalization control, the difference of the queue length of each phase is taken as the output of the system. A signal control method based on iterative learning control is proposed. The traffic control based on iterative learning can adjust the signal scheme according to the real-time traffic condition of the previous cycle. The simulation verification of the control algorithm proposed in this paper is completed with the aid of the traffic simulation tool VISSIM. The simulation results can be seen from the simulation results. The iterative learning control method of city signal lamp timing is superior to the timing signal control in terms of vehicle queue length difference, total vehicle running amount and vehicle average delay, etc. The results show that the method proposed in this paper is very suitable to solve the problem of urban traffic congestion.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54;TP391.9

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