本文關(guān)鍵詞：城市干線交通信號(hào)協(xié)調(diào)控制優(yōu)化與仿真研究　出處：《長(zhǎng)安大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 城市交通 干線信號(hào)控制 協(xié)調(diào)優(yōu)化 微觀交通流仿真 遺傳算法 比例分配解碼方法

【摘要】：在城市交通中，干線是城市路網(wǎng)的重要組成部分，承擔(dān)了大量的交通負(fù)荷，，干線的交通暢通對(duì)改善城市交通狀況具有很大的作用，通過干線交通信號(hào)協(xié)調(diào)優(yōu)化來緩解交通問題是一項(xiàng)復(fù)雜的課題。因此，論文以城市干線為研究對(duì)象，對(duì)城市干線交通信號(hào)控制協(xié)調(diào)優(yōu)化與仿真方法和策略進(jìn)行了深入的研究，主要內(nèi)容包括： 1.論文首先從目前城市干線交通和微觀交通流仿真的現(xiàn)狀出發(fā)，討論了交通信號(hào)控制的基本理論和遺傳算法的相關(guān)知識(shí)，對(duì)城市干線的交通特性和當(dāng)前主要的信號(hào)周期優(yōu)化、綠信比優(yōu)化、相位差優(yōu)化等幾種干線交通信號(hào)協(xié)調(diào)優(yōu)化控制方法進(jìn)行了分析。 2.針對(duì)交通信號(hào)配時(shí)優(yōu)化約束條件多，計(jì)算效率低，算法難收斂的特點(diǎn)，論文采用交通流理論建立交通波模型，并提出一種新的排隊(duì)長(zhǎng)度預(yù)測(cè)模型，以干線系統(tǒng)內(nèi)車輛平均延誤時(shí)間最小為優(yōu)化控制目標(biāo)，采用基于比例分配解碼方法的遺傳算法來進(jìn)行求解。 3.論文采用計(jì)算機(jī)仿真技術(shù)結(jié)合微觀交通流仿真理論建立了城市干線交通信號(hào)微觀仿真系統(tǒng)。該系統(tǒng)通過將交通元素組件化提高了系統(tǒng)的可重用性，并將車輛排隊(duì)阻塞和左轉(zhuǎn)車輛的影響考慮進(jìn)去，建立了車輛到達(dá)模型、運(yùn)行模型、排隊(duì)消散模型和左轉(zhuǎn)車輛避撞模型等，最終該系統(tǒng)能夠成功模擬現(xiàn)實(shí)交通。 4.針對(duì)干線實(shí)例，在城市干線交通信號(hào)微觀仿真系統(tǒng)中分別采用單點(diǎn)信號(hào)控制、定時(shí)協(xié)調(diào)信號(hào)控制和基于比例分配解碼方法的遺傳算法協(xié)調(diào)控制三種控制策略進(jìn)行仿真實(shí)驗(yàn)，并對(duì)排隊(duì)長(zhǎng)度，平均延誤時(shí)間、平均停車次數(shù)等控制參數(shù)進(jìn)行詳細(xì)的對(duì)比和分析。仿真結(jié)果驗(yàn)證了基于比例分配解碼方法的遺傳算法協(xié)調(diào)控制方法的可行性和有效性。 論文的研究對(duì)于城市干線交通信號(hào)協(xié)調(diào)優(yōu)化具有較大的理論意義，為解決實(shí)際的城市干線交通問題提供了參考的方法和途徑。
[Abstract]:In urban traffic, trunk line is an important part of urban road network, which bears a lot of traffic load. The smooth traffic of trunk line plays a great role in improving the urban traffic situation. It is a complex task to solve traffic problems by optimizing traffic signal coordination. Therefore, this paper takes urban trunk lines as the research object. The methods and strategies of coordination, optimization and simulation of traffic signal control in urban trunk lines are studied. The main contents are as follows: 1. Firstly, the basic theory of traffic signal control and the related knowledge of genetic algorithm are discussed based on the current situation of urban trunk traffic and microscopic traffic flow simulation. The traffic characteristics of urban trunk lines and the main signal cycle optimization, green signal ratio optimization, phase difference optimization and other traffic signal coordination optimization control methods are analyzed. 2. In view of the characteristics of traffic signal timing optimization, low computational efficiency and difficult convergence, traffic wave model is established by traffic flow theory, and a new queue length prediction model is proposed. Taking the minimum average delay time of vehicle in trunk system as the optimal control target, the genetic algorithm based on proportional allocation decoding method is used to solve the problem. 3. The paper uses computer simulation technology and micro traffic flow simulation theory to set up the traffic signal micro simulation system of urban trunk line, which improves the reusability of the system by making the traffic element compartmentalized. Taking into account the influence of vehicle queue congestion and left-turn vehicle, the vehicle arrival model, running model, queue dissipation model and left-turn vehicle collision avoidance model are established. Finally, the system can successfully simulate the real traffic. 4. Single point signal control is used in the micro simulation system of traffic signal in urban trunk line. Three control strategies, timing coordinated signal control and genetic algorithm coordinated control based on proportional allocation decoding method, are simulated, and the queue length and average delay time are tested. The simulation results show the feasibility and effectiveness of the genetic algorithm coordinated control method based on the proportional allocation decoding method. The research of this paper is of great theoretical significance for the coordination and optimization of urban trunk traffic signals, and provides a reference method and approach for solving the actual urban trunk traffic problems.
【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.54;TP18

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