本文選題：交通工程 + 干線協(xié)調��； 參考：《上海應用技術大學》2017年碩士論文

【摘要】：城市交通擁堵已經成為困擾城市發(fā)展與人民生活的難題,“治堵”已經成為城市工作中重要內容。城市交通信號控制的合理配時,是更好的利用城市道路時空資源的重要手段,隨著交通擁堵的加劇,對信號配時的精細化、合理化要求更加提高。城市交通中,由于相鄰交叉口之間往往相互關聯、相互影響,只關注某一個交叉口的交通控制是不能夠解決城市主干道的交通問題的。合理分配交叉口的信號周期、綠信比、相位差是提高交通信號控制系統(tǒng)效益的方法。由于受限于交通流組成、道路行駛條件、交通信號配時方案等限制,想要眾多車流得到良好的效果并不是一件容易的事情。協(xié)調控制的效果是由交通流組成、周期、綠信比、行程時間以及相位相序安排眾多因素聯合起作用的。以前大部分的研究都是基于各交叉口相位相序不變的前提下進行優(yōu)化,因為將相位相序的優(yōu)化引入到協(xié)調控制中,會較大的增加優(yōu)化與求解難度。不變的相位相序限制了協(xié)調控制方案的解空間范圍,限制了交通信號控制系統(tǒng)最大發(fā)揮作用。為了提高更多的干線協(xié)調控制系統(tǒng)效益,本文設計了基于信號相位相序調整的干線協(xié)調控制策略,通過調整干線協(xié)調控制交叉口的相位相序,擴大協(xié)調控制基本參數的求解范圍,從而發(fā)揮協(xié)調控制模型的最大效益。首先,本文重點設計了干線協(xié)調控制系統(tǒng)結構,提出了系統(tǒng)的控制原理;其次,對協(xié)調控制基本參數信號周期、綠信比、相位差的優(yōu)化方法分析研究,在此基礎上分析了相位相序對協(xié)調控制的制約關系;再次,本文提出了協(xié)調交叉口沖突策略,采用二進制形式對相位序列進行組合編碼,建立基于車輛平均延誤最小的相序模型,并采用多種群遺傳算法求解最優(yōu)的相位相序組合方案,基于相位相序,優(yōu)化調整各交叉口的基本參數設置。最后,對石河子市北三路這一協(xié)調控制干線的交叉口進行實例研究。與組合遍歷求解相位相序法對比,仿真結果表明,多種群遺傳算法能夠提高相位相序優(yōu)化的有效性;采用VISSIM軟件建立路網模型進行仿真,比較現狀干線交叉口的控制方案,對車輛的平均延誤時間進行對比,例證了研究方法的可行性。
[Abstract]:Urban traffic congestion has become a difficult problem for urban development and people's life, and "governance and plugging" has become an important part of urban work. The reasonable timing of urban traffic signal control is an important means to make better use of the space-time resources of urban roads. With the aggravation of traffic congestion, the signal timing is refined and rationalized. In urban traffic, because the adjacent intersections are often interrelated and influence each other, it is not possible to solve the traffic problems of the urban main roads by only paying attention to the traffic control of a certain intersection. The reasonable allocation of signal cycle, green signal ratio and phase difference are the methods to improve the efficiency of traffic signal control system. Due to the limitation of traffic flow composition, road driving conditions, traffic signal timing scheme and so on, it is not easy to get good results from many traffic flows. The effect of coordinated control is composed of traffic flow, cycle, green signal ratio, travel time and phase sequence. Most of the previous studies were based on the premise that the phase sequence of the intersection was invariant, because the introduction of the phase sequence optimization into the coordination control will increase the difficulty of optimization and solution. The invariant phase sequence limits the solution space of the coordinated control scheme and limits the maximum function of the traffic signal control system. In order to improve the efficiency of the trunk line coordinated control system, this paper designs a coordinated trunk line control strategy based on the signal phase phase sequence adjustment, and adjusts the phase sequence of the trunk line coordinated control intersection by adjusting the phase sequence of the trunk line coordinated control intersection. In order to maximize the benefit of the coordinated control model, the solution range of the basic parameters of coordinated control is expanded. Firstly, the structure of the coordinated control system is designed, and the control principle of the system is put forward. Secondly, the optimization method of signal cycle, green signal ratio and phase difference of coordinated control is analyzed and studied. On the basis of this, the restriction relation of phase sequence to coordinated control is analyzed. Thirdly, the conflict strategy of coordinated intersection is proposed in this paper, and the phase sequence is coded in binary form. A phase sequence model based on the minimum average vehicle delay is established, and the optimal phase sequence combination scheme is solved by using multi-population genetic algorithm. Based on the phase phase sequence, the basic parameters of each intersection are optimized and adjusted. Finally, a case study on the intersection of the North third Road, a coordinated control trunk line in Shihezi City, is carried out. The simulation results show that the multi-population genetic algorithm can improve the efficiency of phase sequence optimization, and use VISSIM software to establish road network model to simulate, compare the current control schemes of trunk intersection, the simulation results show that multi-population genetic algorithm can improve the efficiency of phase sequence optimization. The feasibility of the research method is illustrated by comparing the average delay time of vehicles.
【學位授予單位】：上海應用技術大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U491.54

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本文編號：1809794