基于圖論的偶發(fā)性交通擁堵區(qū)域動(dòng)態(tài)劃分及子區(qū)控制策略研究
本文選題:偶發(fā)性擁堵 + 交通流演化 ; 參考:《長(zhǎng)沙理工大學(xué)》2015年碩士論文
【摘要】:一方面機(jī)動(dòng)車的持有量隨著人口的增加也大幅上升,而另一方面城市交通設(shè)施并未隨之提高完善。因此,加劇了城市交通供需之間的矛盾,交通擁堵已成為城市主要問題之一。除了人們常見的高峰期擁堵外,城市道路網(wǎng)中的一些交通事件易造成偶發(fā)性交通擁堵。偶發(fā)性交通擁堵發(fā)生的地點(diǎn)、時(shí)間具有隨機(jī)性,其疏散控制比較復(fù)雜,一方面,由于交通擁堵控制發(fā)生的地點(diǎn)隨機(jī)性,其相鄰交叉口和路段的通行能力、交通流特性是不同的,第二,由于發(fā)生擁堵的時(shí)間具有隨機(jī)性,不同時(shí)段交通流也具有不同的特性,針對(duì)常態(tài)交通流的優(yōu)化控制方案此時(shí)不適用于疏散控制。因此,偶發(fā)性交通擁堵的疏散控制首先要解決的問題就是控制區(qū)域如何劃分,通?刂茀^(qū)域動(dòng)態(tài)劃分是將關(guān)聯(lián)程度較大相鄰交叉口合并成一個(gè)控制區(qū)域,不同的控制區(qū)域采用不同的控制策略;诖,本文著眼于偶發(fā)性局部擁堵區(qū)域的疏散控制策略,在既有的研究成果基礎(chǔ)上,主要做了以下幾個(gè)方面的工作:(1)本文總結(jié)了國(guó)內(nèi)外擁堵區(qū)域的動(dòng)態(tài)劃分方法以及偶發(fā)性擁堵區(qū)域疏散控制策略方面的研究現(xiàn)狀,概述了偶發(fā)性交通擁堵區(qū)域動(dòng)態(tài)劃分的基礎(chǔ)知識(shí),對(duì)偶發(fā)性擁堵區(qū)域動(dòng)態(tài)劃分的靜態(tài)道路參數(shù)、動(dòng)態(tài)交通流參數(shù)、信號(hào)控制參數(shù)以及動(dòng)態(tài)劃分參數(shù)進(jìn)行了詳細(xì)的分析。(2)偶發(fā)性交通擁堵具有隨機(jī)性,從交通事件發(fā)生導(dǎo)致交通擁堵直到擁堵完全消散,這一過程中擁堵區(qū)的范圍是不斷變化的。本文利用實(shí)時(shí)交通流密度參數(shù),應(yīng)用圖論相關(guān)理論和Kruskal算法,分析交通流阻塞區(qū)、過渡區(qū)和常態(tài)區(qū)的動(dòng)態(tài)演化過程,為城市道路偶發(fā)性擁堵控制策略選取提供依據(jù)。利用MATLAB的數(shù)值仿真,比較分析其方法可行。(3)從交通信號(hào)控制和交通禁行兩方面制定疏散控制策略,以快速疏散擁堵區(qū)域車流、緩解交通壓力為目標(biāo),以協(xié)調(diào)信號(hào)控制和車輛禁行為手段,針對(duì)阻塞區(qū)、過渡區(qū)與常態(tài)區(qū)三個(gè)控制子區(qū)的特點(diǎn),制定疏散控制方案。
[Abstract]:On the one hand, the number of motor vehicles has increased with the increase of population, and on the other hand, urban traffic facilities have not been improved. Therefore, the contradiction between supply and demand of urban traffic has been aggravated. Traffic congestion has become one of the main problems in the city. It is easy to cause occasional traffic congestion. The location of occasional traffic congestion is random, and its evacuation control is more complex. On the one hand, the traffic flow characteristics of adjacent intersection and section are different because of the randomness of traffic congestion control, and the traffic flow characteristics are different, second, because the time of congestion is random. Traffic flow in different periods also has different characteristics. The optimal control scheme for normal traffic flow is not suitable for evacuation control at this time. Therefore, the first problem to be solved in the evacuation control of occasional traffic congestion is how to divide the control area. A control area, different control areas use different control strategies. Based on this, this paper focuses on the evacuation control strategy in the occasional local congestion area, and on the basis of the existing research results, the main work is done in the following aspects: (1) this paper summarizes the dynamic division method and the occasional congestion in the congestion area at home and abroad. The research status of regional evacuation control strategy is presented, and the basic knowledge of dynamic partition of occasional traffic congestion area is summarized. The static road parameters, dynamic traffic flow parameters, signal control parameters and dynamic partition parameters are analyzed in detail. (2) random traffic congestion is found. In this process, the scope of congestion area is constantly changing from traffic congestion to congestion. In this process, the scope of congestion zone is constantly changing. In this paper, the dynamic evolution process of traffic congestion, transition zone and normal area is analyzed by using the real-time traffic flow density parameters and the theory of graph theory and Kruskal algorithm. By using MATLAB numerical simulation, the method is compared and analyzed. (3) the evacuation control strategy is formulated from two aspects of traffic signal control and traffic prohibition, in order to quickly evacuate the traffic flow and alleviate traffic pressure, and to coordinate signal control and vehicle prohibition behavior, aiming at blocking area, transition zone and normal state. The characteristics of the three control zones are formulated, and evacuation control plans are formulated.
【學(xué)位授予單位】:長(zhǎng)沙理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U491.265
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