城市主干道交通信号动态协调控制方法研究

发布时间：2018-02-04 04:23

本文关键词： 自调整模糊控制器控制子区公共信号周期相序优化子区划分　出处：《河南理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：交通拥堵是制约现代城市发展的主要因素。提高交通信号系统的控制效果,是解决交通拥堵问题的有效途径。对于城市某一交通区域来说,干线的通行效率直接影响该区域的交通是否通畅,因此,干线协调控制是交通信号控制领域研究的重点。本文针对干线协调控制的研究现状,分析了现有干线协调控制方法的优缺点,在此基础上,展开了干线交通信号协调控制的研究和探讨。本文的主要工作包括:在交通信号模糊控制器的基础之上,分析了模糊控制器参数对控制效果的影响,设计了一种比例因子可根据交通流变化进行自调整的模糊控制器,并提出基于交通流变化的单交叉口信号控制方法,通过仿真,验证了该控制器具有一定的自适应性和可行性。基于分组的思想,设计了一种干线控制子区的协调控制方案,其中包括:(1)周期时长的优化考虑车辆排队数对周期时长的影响,对webster周期计算方法进行改进,建立了专用的自适应神经模糊推理系统,推理更为合理的信号周期;(2)绿信比优化为增加干线协调相位的绿灯时长,同时兼顾支路相位的目标,建立了干线协调控制绿信比动态调整方法;(3)相位差优化建立了考虑协调相位的车辆排队数的相位差计算模型;(4)相序优化提升干线路段的车速和降低停车次数,提出了一个支路相位排前可行度函数,对各个路口的相序进行优化;通过仿真验证,该控制方案能够有效降低车流在控制子区内的通行时间以及停车次数,为下一章的控制算法奠定了基础。在前一章的基础上,提出了一种城市主干道交通信号动态协调控制策略:(1)控制子区划分模块充分考虑子区划分需要考虑的因素路口间距、车流密度、信号周期,提出了一种简化的控制子区划分方法;(2)控制子区协调控制模块采用上一章提出的子区协调控制方案;(3)控制子区间协调控制模块建立了控制子区间衔接路段的引导车速计算模型,从而实现控制子区间的协调控制;最后进行了仿真验证,该控制方法能够明显降低车流在干道上的通行时间。
[Abstract]:Traffic congestion is the main factors restricting the development of modern city. To improve the control effect of the traffic signal system, is an effective way to solve the traffic congestion problem. For the city in a traffic area, route traffic efficiency directly affect the regional traffic is smooth, therefore, arterial coordination control is the focus of research in the field of traffic signal control in this paper. According to the research status of coordinated control lines, analysis the advantages and disadvantages of the existing arterial coordination control method, on the basis of this, the discussion and Research on the traffic signal coordination control trunk. The main work includes: Based on the analysis of traffic signal fuzzy controller, the fuzzy controller parameters on control effect, a proportion of the factor can be self adjusting fuzzy controller according to the change of traffic flow is designed, and some of the traffic flow control based on single intersection number Preparation method, through the simulation demonstrate that the controller has adaptability and feasibility. Based on the idea of grouping, design a coordinated control scheme, main control sub area including: (1) cycle length optimization considering the vehicle queue number of cycle length influence, calculating method of Webster cycle improved, established special adaptive neural fuzzy inference system, reasoning more reasonable signal cycle; (2) green ratio optimization to increase the coordination phase green time, taking into account the branch phase, a dry line coordinated control split dynamic adjustment method; (3) phase optimization a phase considering coordinated phase difference in the number of vehicles queuing model; (4) phase sequence optimization enhance the trunk sections of the speed and reduce the number of stops and propose a branch phase top feasible degree function of each intersection sequence into Optimization; through the simulation, the control scheme can effectively reduce the traffic control sub area in the passage of time and the number of stops, which laid the foundation for the control algorithm in the next chapter. On the basis of the previous chapter, we propose a dynamic city trunk road traffic signal coordination control strategy: (1) control the sub division module fully consider the factors of intersection spacing, sub area division to consider the traffic density, signal cycle, this paper proposes a simplified control sub area division method; (2) control sub area coordinated control module uses a chapter of the sub area coordinated control scheme; (3) control sub interval coordinated control the speed control module to establish the guide section of the cohesive sub interval calculation model, so as to realize the coordinated control of the sub region; finally, by simulation, this control method can obviously reduce the traffic time on the roads.

【学位授予单位】：河南理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.54

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