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基于元胞自動(dòng)機(jī)的信號(hào)交叉口交通流的研究

發(fā)布時(shí)間:2018-03-28 21:34

  本文選題:交通流 切入點(diǎn):元胞自動(dòng)機(jī)模型 出處:《重慶交通大學(xué)》2015年碩士論文


【摘要】:隨著社會(huì)經(jīng)濟(jì)的發(fā)展,汽車在人類社會(huì)的快速發(fā)展中占有越來越重要的地位。這種方便的交通運(yùn)輸工具在給人類帶來便利的同時(shí),也帶來了一系列的問題,如交通擁堵,環(huán)境污染和交通事故等。交通擁堵問題的解決不僅需要增加道路基礎(chǔ)設(shè)施,還需要研究交通系統(tǒng)的內(nèi)部運(yùn)行規(guī)律,用科學(xué)的理論來指導(dǎo)交通系統(tǒng)的管理和建設(shè)。交通流理論是解釋交通現(xiàn)象,分析交通問題和指導(dǎo)交通管理的基礎(chǔ)理論,能夠有效地指導(dǎo)交通擁堵問題的解決。本文以元胞自動(dòng)機(jī)理論為基礎(chǔ),通過建立交通模型分析交通流中各變量之間的相互關(guān)系,從而揭示交通系統(tǒng)內(nèi)部的運(yùn)行規(guī)律。不僅具有理論上的意義,而且具有重要的實(shí)際意義。本論文的主要工作:①緒論。本章首先從分析現(xiàn)實(shí)交通業(yè)發(fā)展帶來的即交通擁堵、交通事故、環(huán)境污染三方面的問題以及交通流理論在交通管理中的應(yīng)用闡述了論文研究的背景。其次,本論文從國內(nèi)以及國外兩個(gè)方面分析了交通流元胞自動(dòng)機(jī)的研究現(xiàn)狀。第三,說明了論文的研究意義。最后,列出了本論文的主要研究成果。②基礎(chǔ)理論部分。本章介紹了交通流理論中的常用的變量及其測量方法,并且介紹了交通流理論中發(fā)現(xiàn)并研究的一些交通現(xiàn)象與特征,最后本文提出了交通流理論研究中重要的微觀模型元胞自動(dòng)機(jī)模型。③本章主要是研究剎車燈規(guī)則的元胞自動(dòng)機(jī)理論。首先介紹了基本的剎車燈模型CD模型,基于此模型,在MCD模型的基礎(chǔ)上,提出了改進(jìn)的剎車燈模型,改進(jìn)的剎車燈模型研究了確定性的減速對(duì)隨機(jī)慢化的影響,并且改變了車輛的隨機(jī)慢化概率的計(jì)算方法和車輛的加速規(guī)則。通過基本圖和時(shí)空?qǐng)D發(fā)現(xiàn),改建的剎車燈模型能夠更加貼合實(shí)際的駕駛員的駕駛行為,并且能夠有效地模擬復(fù)雜的交通流行為。④本章主要是信號(hào)控制下的元胞自動(dòng)機(jī)模型。本章是論文的重要部分,首先分析了NS模型、NS模型的改進(jìn)模型存在的不足之處,然后進(jìn)行進(jìn)一步的改進(jìn),增加了考慮前車行車狀態(tài)的元胞自動(dòng)機(jī)模型,并且在模型的基礎(chǔ)上融入了剎車燈影響的元胞自動(dòng)機(jī)模型,將在兩個(gè)模型相結(jié)合,建立了信號(hào)交叉口處的元胞自動(dòng)機(jī)模型。分析了車流密度、車輛平均排隊(duì)長度、綠燈時(shí)長以及車輛平均速度之間的內(nèi)在規(guī)律,為信號(hào)燈交叉口交通信號(hào)燈的配時(shí)策略的研究提供了一種新的研究方向。
[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.
【學(xué)位授予單位】:重慶交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U491

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 劉麗莉;姚志良;;機(jī)動(dòng)車尾氣排放VOCs研究進(jìn)展[J];環(huán)境科學(xué)與技術(shù);2012年03期

2 譚惠麗,劉慕仁,孔令江;開放邊界條件下改進(jìn)的Nagel-Schreckenberg交通流模型的研究[J];物理學(xué)報(bào);2002年12期

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