本文選題：信號控制　切入點：可變相序　出處：《西南交通大學(xué)》2015年碩士論文

【摘要】：近年來,隨著我國城市化進程不斷加快,私家車保有量大幅增加,現(xiàn)有的路網(wǎng)交通系統(tǒng)已經(jīng)很難滿足實際交通的需要,交通擁堵等一系列問題日益凸顯。本文以單個交叉口為基本控制單位,綜合考慮關(guān)聯(lián)交叉口和路段交通情況的影響作用,建立開放式信號控制模型。城市交通系統(tǒng)具有復(fù)雜、時變等特性,傳統(tǒng)的交叉口控制方法很難達到預(yù)期的控制效果,人們開始關(guān)注將智能控制技術(shù)運用到交通控制系統(tǒng)解決交通問題。由于模糊控制邏輯清晰且不需要建立精確的模型,對復(fù)雜、不確定的問題有很強的處理能力,因此將該理論用于對本模型的研究。本文采用可變相序的信號控制方式,設(shè)計三模塊模糊控制器對交叉口的控制參數(shù)進行調(diào)整。第一模塊相序優(yōu)化器根據(jù)所研究的交叉口各紅燈相位優(yōu)先權(quán)以及紅燈相位關(guān)聯(lián)上游交叉口和上游路段的阻塞緊迫度計算獲取各相位的通行需求度；第二模塊綠燈延時模糊控制器根據(jù)該相位排隊長度以及該相位和預(yù)備相位排隊長度之差計算綠燈延長時間；第三模塊修正控制器利用下游關(guān)聯(lián)交叉口和路段數(shù)據(jù)融合得出修正加權(quán)系數(shù)對綠燈延時進行一定的修正,防止交通溢流。利用VBA語言對VISSIM進行二次開發(fā),構(gòu)建仿真平臺對模型進行驗證,將實時調(diào)查的交叉口高峰期數(shù)據(jù)輸入VISSIM進行模擬仿真,通過比較本文設(shè)計的控制策略、定時控制、感應(yīng)控制以及經(jīng)典模糊控制的評價指標,驗證了模型的有效性。同時,對進口道流量進行翻倍,確保模型對交通流的變化具有較好的適應(yīng)性,進一步證明模型的控制效果。最后,隨著時間的推移不斷改變東西進口道流量探討了本文設(shè)計的開放式信號控制模型面對不斷變化的交通需求時控制的穩(wěn)定性。
[Abstract]:In recent years, with the acceleration of urbanization and the increase of private car ownership, the existing road network traffic system has been difficult to meet the actual traffic needs. A series of problems, such as traffic congestion, are becoming more and more prominent. This paper takes a single intersection as the basic control unit, synthetically considers the influence of the traffic situation of the intersections and sections of the road, and establishes an open signal control model. The urban traffic system is complex. With time-varying characteristics, the traditional intersection control method is difficult to achieve the desired control effect. People begin to pay attention to applying intelligent control technology to traffic control system to solve traffic problems. Because fuzzy control logic is clear and precise model is not needed, it has strong ability to deal with complex and uncertain problems. Therefore, the theory is applied to the study of this model. A three-module fuzzy controller is designed to adjust the control parameters of intersection. The first module phase sequence optimizer is based on the red light phase priority and red light phase correlation upstream intersection and upstream section of resistance. The traffic demand degree of each phase is obtained by plug urgency calculation. The second module of the fuzzy controller calculates the green time extension according to the phase queue length and the difference between the phase and the queue length of the preparatory phase. In the third module, the correction controller uses the data fusion of the downstream intersections and sections to get the modified weighting coefficient to correct the green time delay to prevent traffic overflow. The second development of VISSIM is carried out by using VBA language. The simulation platform is built to verify the model, and the real-time survey data of intersection peak period is input into VISSIM to simulate and simulate. The evaluation indexes of control strategy, timing control, induction control and classical fuzzy control are compared in this paper by comparing the control strategy, timing control, induction control and classical fuzzy control. The validity of the model is verified. At the same time, the inlet flow rate is doubled to ensure that the model has better adaptability to the change of traffic flow, and further proves the control effect of the model. The stability of the open signal control model designed in this paper in the face of changing traffic demand is discussed.
【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】：2015
【分類號】：U491.54

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本文編號：1658983