【摘要】：進(jìn)入21世紀(jì)以來,隨著我國(guó)經(jīng)濟(jì)和科技力量的突飛猛進(jìn),道路上的汽車數(shù)量爆發(fā)式增長(zhǎng),城市交通擁堵越來越嚴(yán)重,進(jìn)一步引發(fā)了環(huán)境污染、能源浪費(fèi)、交通事故等一系列問題,尤其霧霾天氣給人們帶來很大的困擾。城市交通擁堵主要發(fā)生在道路交叉口處,由于傳統(tǒng)的交叉口交通信號(hào)控制方式存在對(duì)綠燈時(shí)間分配不合理的問題,有時(shí)會(huì)造成不必要的擁堵。一個(gè)合理的控制系統(tǒng),對(duì)改善交通現(xiàn)狀具有深遠(yuǎn)的影響。在道路交通網(wǎng)中,交通流是非線性的、實(shí)時(shí)的和變化無常的,針對(duì)交通流的這種特性,可以把智能控制方法應(yīng)用于城市交通信號(hào)控制中。本文主要研究了城市中比較特殊的五岔路口和相鄰交叉口,把模糊系統(tǒng)和神經(jīng)網(wǎng)絡(luò)結(jié)合起來應(yīng)用到交通信號(hào)控制中,以降低車輛平均延誤為目標(biāo),實(shí)現(xiàn)五岔路口綠燈時(shí)間的合理分配。首先,簡(jiǎn)單介紹了交通信號(hào)控制基本參數(shù)、交通流的統(tǒng)計(jì)分布、道路交叉口交通質(zhì)量評(píng)價(jià)指標(biāo)體系和交通流檢測(cè)。其次,將模糊控制應(yīng)用到五岔路口的交通信號(hào)控制中,實(shí)現(xiàn)五岔路口的智能控制。在車流低峰期和高峰期兩種情況下,分別用定時(shí)控制和模糊控制仿真研究五岔路口控制,仿真結(jié)果顯示了模糊控制的優(yōu)勢(shì)。再次,針對(duì)交通信號(hào)定相序控制浪費(fèi)綠燈時(shí)間和頻繁切換相位的問題,引進(jìn)動(dòng)態(tài)模糊神經(jīng)網(wǎng)絡(luò)理論,實(shí)現(xiàn)五岔路口多相位變相序動(dòng)態(tài)控制。以赤峰市松州路、振興大街和臨潢大街所形成的五岔路口為例,對(duì)其進(jìn)行了仿真研究,驗(yàn)證了多相位變相序動(dòng)態(tài)控制方法的性能。最后,研究分析了相鄰交叉口的協(xié)調(diào)控制。對(duì)于中間路段距離小的相鄰交叉口,其關(guān)聯(lián)性比較強(qiáng),在控制中考慮了中間路段駛?cè)牒婉傠x交叉口的車流對(duì)綠燈相位的影響,仿真說明協(xié)調(diào)控制比普通的孤立交叉口控制更加合理。
[Abstract]:Since the beginning of the 21st century, with the rapid development of our economy and science and technology, the number of cars on the roads has exploded, and the traffic congestion in cities has become more and more serious, which has caused further environmental pollution and energy waste. Traffic accidents and a series of problems, especially the haze weather to people a great deal of trouble. Urban traffic congestion mainly occurs at road intersections. Because of the unreasonable allocation of green time in the traditional traffic signal control mode at intersections, it sometimes causes unnecessary congestion. A reasonable control system has a profound impact on improving the traffic situation. In road traffic network, traffic flow is nonlinear, real-time and fickle. In view of this characteristic of traffic flow, intelligent control method can be applied to urban traffic signal control. This paper mainly studies the special five fork junctions and adjacent intersections in the city. The fuzzy system and neural network are combined into the traffic signal control, with the aim of reducing the average vehicle delay. Realize the rational allocation of green light time at five fork junctions. Firstly, the basic parameters of traffic signal control, the statistical distribution of traffic flow, the evaluation index system of traffic quality at road intersection and the detection of traffic flow are briefly introduced. Secondly, the fuzzy control is applied to the traffic signal control of the five bifurcations to realize the intelligent control of the five bifurcations. In the case of low peak period and peak period of traffic flow, the fuzzy control and timing control are used to simulate the five-fork intersection control, respectively. The simulation results show the advantages of fuzzy control. Thirdly, aiming at the problem of wasting green time and switching phase frequently in phase sequence control of traffic signal, the dynamic fuzzy neural network theory is introduced to realize multi-phase variable phase sequence dynamic control at five junctions. Taking the five fork junctions formed by Songzhou Road, Zhenxing Street and Linghuang Street in Chifeng as an example, the simulation study is carried out to verify the performance of the multi-phase variable phase sequence dynamic control method. Finally, the coordinated control of adjacent intersections is studied and analyzed. For the adjacent intersections with small distance from the middle section, the correlation is relatively strong. In the control, the influence of the traffic flow of the middle section entering and leaving the intersection on the green phase is considered. The simulation results show that the coordinated control is more reasonable than the common isolated intersection control.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：U491.5

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