城市交叉路口交通信号优化控制及仿真研究

发布时间：2018-01-07 13:11

本文关键词：城市交叉路口交通信号优化控制及仿真研究　出处：《青岛科技大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着城市化进程的加快以及社会经济的持续发展,城市人口和机动车辆数目的不断增加,城市交通的拥堵已经成为全国各大城市共同面临的难题。由此带来的交通拥堵、能源浪费、交通事故以及汽车废气排放造成的污染等问题,不仅不断制约着经济的可持续发展,同时严重降低了人们的生活质量。城市交叉口是城市交通的交汇点,所以城市交通拥堵往往集中表现在城市交叉路口。如何最大程度地提高交叉路口的通行能力,减少车辆的延误率一直以来是交通控制研究的主要问题。传统上,交通拥堵问题的解决一般通过对交通路网进行扩张来处理,但是这种处理方法不仅造价昂贵,更严重破坏了城市的生活环境,并且这种方式缓解交通拥挤的效果有限,并不是缓解交通的首选办法。智能控制的发展,为交通控制提供了新的思路。由于实时交通系统是一种非线性的、时变的大系统,采用传统的控制方法很难达到满意的效果,因此无需建立精确数学模型的模糊控制成了研究智能交通的首选控制方法。本文基于模糊控制的基本思想,以降低车辆的平均延误为目标,提出了一种区域交叉口的两级模糊控制模型。其中第一级为检测级,由各相位的车辆检测器检测相对应的车辆紧迫度;第二级为决策级,决策是否发生相位转换。而且本文考虑到了正常和非正常两种交通状态,并设计了相应的控制规则。最后根据设计的模糊控制规则,编写了相应的程序进行仿真。仿真结果表明,与传统的定时控制相比,本文所设计的模糊控制器能有效的减少车辆的平均等待时间并提高车辆的通行效率。
[Abstract]:With the acceleration of urbanization and the sustainable development of social economy, the number of urban population and motor vehicles is increasing. Urban traffic congestion has become a common problem faced by all major cities in the country. The resulting traffic congestion, energy waste, traffic accidents and pollution caused by vehicle emissions, and so on. It not only restricts the sustainable development of economy, but also seriously reduces the quality of life. Urban intersection is the intersection of urban traffic. Therefore, urban traffic congestion is often concentrated in urban intersections. How to maximize the capacity of intersections and reduce the rate of vehicle delay has been the main problem of traffic control research. Traditionally. The solution of traffic congestion problem is usually dealt with by expanding the traffic network, but this method is not only expensive, but also seriously destroys the living environment of the city. And the effect of this way to alleviate traffic congestion is limited, is not the first way to ease the traffic. The development of intelligent control provides a new way for traffic control. Because the real-time traffic system is a nonlinear. In large time-varying systems, it is difficult to achieve satisfactory results by using traditional control methods. Therefore, fuzzy control without establishing accurate mathematical model has become the preferred control method to study intelligent traffic. Based on the basic idea of fuzzy control, the aim of this paper is to reduce the average delay of vehicles. This paper presents a two-level fuzzy control model for regional intersections, in which the first stage is the detection level, and the vehicle detector of each phase detects the corresponding vehicle urgency. The second level is the decision level, whether the decision has phase conversion or not. And this paper considers the normal and abnormal traffic state, and designs the corresponding control rules. Finally, according to the designed fuzzy control rules. The simulation results show that compared with the traditional timing control, the fuzzy controller designed in this paper can effectively reduce the average waiting time of the vehicle and improve the efficiency of the vehicle.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491.51

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