本文關(guān)鍵詞：城市干線交通信號協(xié)調(diào)控制方法及優(yōu)化研究　出處：《西南交通大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 干線協(xié)調(diào)控制 模糊控制器 平均延誤 遺傳算法

【摘要】：近年來由于我國經(jīng)濟的快速發(fā)展和城市路網(wǎng)規(guī)模的不斷擴大,城市機動車輛的保有量不斷增加,使得各類城市交通問題不斷地涌現(xiàn)出來如交通擁堵、交通事故的頻發(fā)、環(huán)境污染等。城市交通問題已經(jīng)嚴重影響人們的日常出行和社會經(jīng)濟發(fā)展。 交叉口是城市交通路網(wǎng)的交匯點,也是產(chǎn)生各類交通問題的癥結(jié)點,合理實現(xiàn)交叉口的控制能有效提高城市路網(wǎng)的通行能力。研究交叉口信號控制是解決城市交通問題的一個重要的思考方向。干線交通是城市交通路網(wǎng)的重要組成部分,干線控制是否合理有效,將直接影響到整個城市路網(wǎng)是否能快速有效的運行。本文將以相鄰路口協(xié)調(diào)控制為基礎(chǔ)來研究城市干線協(xié)調(diào)控制。 由于城市交通具有隨機性,時變性和非線性的特點,傳統(tǒng)的干線協(xié)調(diào)控制方式已經(jīng)不能適應(yīng)現(xiàn)代快速發(fā)展的交通要求。因此智能交通控制在城市交通控制中得到了廣泛的應(yīng)用,把模糊控制應(yīng)用到城市交通信號控制中,是智能交通發(fā)展的一個重要方向。 本文首先介紹了城市交通信號控制基本理論知識,闡述了交通信號控制意義。重點研究分析相鄰交叉口的協(xié)調(diào)控制,分析相鄰交叉口的交通流特性,在經(jīng)典的交叉口模糊控制的基礎(chǔ)上改進設(shè)兩級模糊控制器。通過仿真數(shù)據(jù)表明兩級模糊控制能實現(xiàn)比較好的協(xié)調(diào)控制。 其次,研究了城市干線協(xié)調(diào)控制基本原理,分析了現(xiàn)有的干線協(xié)調(diào)控制方式的特點和不足,借鑒相鄰交叉口的協(xié)調(diào)控制方式,設(shè)計了干線的分層式協(xié)調(diào)控制,第一層為系統(tǒng)協(xié)調(diào)層主要完成干線控制系統(tǒng)的信號周期和協(xié)調(diào)相鄰交叉口的相位差的配時功能。第二層是交叉口的控制單元,主要完成相位綠燈的延時和切換的功能。通過MATLAB7.10進行了實驗仿真,并對比了傳統(tǒng)的基于相位差的干線協(xié)調(diào)控制。 最后對干線協(xié)調(diào)控制進行了優(yōu)化處理。模糊控制中由于隸屬度和模糊規(guī)則的選取是由交通經(jīng)驗和專家經(jīng)驗設(shè)定不一定能適應(yīng)交通流的變化,針對隸屬度函數(shù)采用了遺傳算法進行了優(yōu)化。通過仿真數(shù)據(jù)表明優(yōu)化后的模糊控制能實現(xiàn)更有效的協(xié)調(diào)控制。
[Abstract]:In recent years, due to the rapid development of our economy and the expansion of urban road network, the number of urban motor vehicles has been increasing, resulting in a variety of urban traffic problems, such as traffic congestion. The frequent occurrence of traffic accidents, environmental pollution and so on. Urban traffic problems have seriously affected people's daily travel and social and economic development. Intersection is not only the intersection of urban traffic network, but also the crux of all kinds of traffic problems. Rational control of intersections can effectively improve the capacity of urban road networks. The study of intersection signal control is an important thinking direction to solve urban traffic problems. Trunk traffic is an important component of urban traffic network. Part. Whether the trunk line control is reasonable or effective will directly affect whether the whole urban network can run quickly and effectively. This paper will study the coordinated control of urban trunk lines based on the coordinated control of adjacent junctions. Due to the randomness, time-varying and nonlinear characteristics of urban traffic. The traditional coordinated control of trunk lines can not meet the requirements of modern and rapid development of traffic, so intelligent traffic control has been widely used in urban traffic control. The application of fuzzy control to urban traffic signal control is an important direction in the development of intelligent transportation. In this paper, the basic theory of urban traffic signal control is introduced, and the significance of traffic signal control is expounded. The emphasis is on the analysis of the coordinated control of adjacent intersections and the analysis of traffic flow characteristics of adjacent intersections. Based on the classical fuzzy control of intersection, the two-stage fuzzy controller is improved, and the simulation results show that the two-stage fuzzy control can achieve better coordinated control. Secondly, the basic principle of coordinated control of urban trunk line is studied, and the characteristics and shortcomings of the existing coordinated control mode of trunk line are analyzed. The hierarchical coordinated control of trunk line is designed based on the coordination control mode of adjacent intersections. The first layer is the system coordination layer, which mainly completes the signal cycle of the trunk line control system and coordinates the timing function of the phase difference of the adjacent intersections. The second layer is the control unit of the intersection. The functions of delay and switching of phase green light are mainly completed. The experimental simulation is carried out by MATLAB7.10, and the traditional coordinated control based on phase difference is compared. Finally, the coordinated control of trunk lines is optimized. The selection of membership degree and fuzzy rules is not always adapted to traffic flow change by setting traffic experience and expert experience in fuzzy control. The genetic algorithm is used to optimize the membership function, and the simulation results show that the optimized fuzzy control can achieve more effective coordinated control.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.54

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