基于元胞自动机的信号交叉口交通流的研究

发布时间：2018-03-28 21:34

本文选题：交通流　切入点：元胞自动机模型　出处：《重庆交通大学》2015年硕士论文

【摘要】：随着社会经济的发展,汽车在人类社会的快速发展中占有越来越重要的地位。这种方便的交通运输工具在给人类带来便利的同时,也带来了一系列的问题,如交通拥堵,环境污染和交通事故等。交通拥堵问题的解决不仅需要增加道路基础设施,还需要研究交通系统的内部运行规律,用科学的理论来指导交通系统的管理和建设。交通流理论是解释交通现象,分析交通问题和指导交通管理的基础理论,能够有效地指导交通拥堵问题的解决。本文以元胞自动机理论为基础,通过建立交通模型分析交通流中各变量之间的相互关系,从而揭示交通系统内部的运行规律。不仅具有理论上的意义,而且具有重要的实际意义。本论文的主要工作:①绪论。本章首先从分析现实交通业发展带来的即交通拥堵、交通事故、环境污染三方面的问题以及交通流理论在交通管理中的应用阐述了论文研究的背景。其次,本论文从国内以及国外两个方面分析了交通流元胞自动机的研究现状。第三,说明了论文的研究意义。最后,列出了本论文的主要研究成果。②基础理论部分。本章介绍了交通流理论中的常用的变量及其测量方法,并且介绍了交通流理论中发现并研究的一些交通现象与特征,最后本文提出了交通流理论研究中重要的微观模型元胞自动机模型。③本章主要是研究刹车灯规则的元胞自动机理论。首先介绍了基本的刹车灯模型CD模型,基于此模型,在MCD模型的基础上,提出了改进的刹车灯模型,改进的刹车灯模型研究了确定性的减速对随机慢化的影响,并且改变了车辆的随机慢化概率的计算方法和车辆的加速规则。通过基本图和时空图发现,改建的刹车灯模型能够更加贴合实际的驾驶员的驾驶行为,并且能够有效地模拟复杂的交通流行为。④本章主要是信号控制下的元胞自动机模型。本章是论文的重要部分,首先分析了NS模型、NS模型的改进模型存在的不足之处,然后进行进一步的改进,增加了考虑前车行车状态的元胞自动机模型,并且在模型的基础上融入了刹车灯影响的元胞自动机模型,将在两个模型相结合,建立了信号交叉口处的元胞自动机模型。分析了车流密度、车辆平均排队长度、绿灯时长以及车辆平均速度之间的内在规律,为信号灯交叉口交通信号灯的配时策略的研究提供了一种新的研究方向。
[Abstract]:With the development of social economy, automobile plays an increasingly important role in the rapid development of human society. This convenient means of transportation not only brings convenience to human beings, but also brings a series of problems, such as traffic congestion. Environmental pollution and traffic accidents. The solution of traffic congestion not only needs to increase road infrastructure, but also needs to study the internal operation of traffic system. The theory of traffic flow is the basic theory to explain traffic phenomena, analyze traffic problems and guide traffic management. It can effectively guide the solution of traffic congestion problem. Based on the cellular automata theory, this paper analyzes the relationship between the variables in traffic flow by establishing traffic model. It is not only of theoretical significance, but also of important practical significance. The main work of this paper is the introduction of 1: 1. This chapter first analyzes the traffic congestion brought by the development of the real traffic industry. The traffic accident, environmental pollution and the application of traffic flow theory in traffic management explain the background of the paper. Secondly, This paper analyzes the current situation of research on cellular automata of traffic flow from both domestic and foreign aspects. Third, it explains the significance of the research. Finally, The main research results of this thesis are listed as follows: .2 basic theory. In this chapter, the commonly used variables in traffic flow theory and their measurement methods are introduced, and some traffic phenomena and characteristics found and studied in traffic flow theory are also introduced. Finally, this paper puts forward the cellular automata model, which is an important microscopic model in the study of traffic flow theory. This chapter mainly focuses on the cellular automata theory for studying the rules of brake lights. Firstly, the basic brake light model CD model is introduced, based on which, Based on the MCD model, an improved brake lamp model is proposed. The improved brake lamp model studies the effect of deterministic deceleration on randomization. It also changes the calculation method of the random slowing probability and the acceleration rules of the vehicle. Through the basic map and the space-time diagram, it is found that the modified brake lamp model can be more suitable for the actual driver's driving behavior. And can effectively simulate the complex traffic epidemic. This chapter is mainly the cellular automata model under signal control. This chapter is an important part of the paper. Firstly, the shortcomings of the improved NS model are analyzed. Then further improvements are made to increase the cellular automata model considering the driving state of the front car, and the cellular automata model which is influenced by brake lights is incorporated on the basis of the model, which will be combined with the two models. The cellular automata model at the signalized intersection is established, and the inherent laws between the traffic density, the average queue length, the green time and the average vehicle speed are analyzed. It provides a new research direction for the study of traffic signal timing strategy at traffic signal intersection.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491

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