本文選題：感應(yīng)控制 + 隨機條件　； 參考：《蘭州交通大學(xué)》2014年碩士論文

【摘要】：城市交叉口信號控制形式主要分為定時控制和感應(yīng)控制，后者根據(jù)檢測器測到的實時交通信息動態(tài)控制信號燈顯示狀態(tài)，克服了定時控制固定配時方案的缺陷，感應(yīng)控制系統(tǒng)的部署應(yīng)是今后的發(fā)展趨勢。通過對感應(yīng)信號控制進行深入研究，不僅可以有效提高道路通行能力，緩解目前普遍存在的交通擁堵問題，減少交通事故發(fā)生率，而且能夠在一定程度上減輕交通污染。感應(yīng)控制的配時參數(shù)和控制策略對最終控制效果起著決定性作用，論文選擇對這兩個核心內(nèi)容進行研究，考慮了交通流的隨機特性，分別建立了最小綠燈時間、最大綠燈時間、控制邏輯的優(yōu)化模型和方法。 論文首先分析了已有感應(yīng)控制中配時參數(shù)的確定方法和研究現(xiàn)狀，目前在對感應(yīng)控制兩個主要配時參數(shù)最小綠燈時間和最大綠燈時間進行確定時，都未考慮到交通流的隨機特性，假定車輛到達服從均勻分布，這與實際并不相符，控制效果和期望值還有一定距離。其次，針對已有研究存在的不足，考慮車輛到達的隨機性，以交叉口平均延誤最小為目標(biāo)函數(shù)，考慮車輛安全行駛、行人過街時間和周期時長約束條件，建立了最小綠燈時間優(yōu)化模型，并用拉格朗日解析法給出了求解最小綠燈時間的解析算法，運用隨機模擬逼近目標(biāo)函數(shù)的方法求解各相位最小綠燈時間的最優(yōu)值；其次，分析了隨機車流車頭時距和綠燈延長時間的關(guān)系，分別考慮各種情況下綠燈延長的概率，根據(jù)各自概率和對應(yīng)的綠燈時間建立了最大綠燈時間優(yōu)化模型。然后，在分析定時控制動態(tài)相序控制的基礎(chǔ)上，提出了感應(yīng)控制基于相位關(guān)鍵進口道排隊長度的相序優(yōu)化方法，，為避免出現(xiàn)某些相位的過飽和排隊而無法立即得到通行權(quán)的現(xiàn)象發(fā)生，以相位關(guān)鍵進口道車輛排隊長度為選擇依據(jù)，選擇其中最長的相位作為下一通行相位，保證對綠燈時間的有效利用。最后，用VISSIM感應(yīng)控制模塊對提出的模型進行了仿真驗證，分別對優(yōu)化后配時參數(shù)和控制邏輯進行仿真，和傳統(tǒng)感應(yīng)控制進行對比，仿真結(jié)果表明在車輛到達服從二項分布和泊松分布時，提出的模型在不同飽和度情況下交叉口各評價指標(biāo)都有不同程度的改善，具有較好的控制效果。
[Abstract]:The signal control forms of urban intersections are mainly divided into timing control and induction control. The latter can dynamically control the signal display state according to the real-time traffic information measured by the detector, which overcomes the defects of the fixed timing control scheme of timing control. The deployment of induction control system should be the development trend in the future. Through the in-depth study of the induction signal control, not only can the road traffic capacity be effectively improved, the current traffic congestion problem can be alleviated, the traffic accident rate can be reduced, but also the traffic pollution can be alleviated to a certain extent. The timing parameters and control strategies of induction control play a decisive role in the final control effect. This paper chooses to study these two core contents, considers the stochastic characteristics of traffic flow, and establishes the minimum green time and the maximum green time, respectively. Optimization model and method of control logic. At first, the paper analyzes the methods and research status of the timing parameters in the induction control. At present, the minimum green time and the maximum green time of the two main timing parameters of the induction control are determined. The random characteristics of traffic flow are not taken into account and the uniform distribution of vehicle arrival clothes is assumed which is not in accordance with the actual situation. The control effect and expected value are still far away. Secondly, considering the randomness of vehicle arrival, taking the minimum average delay at intersection as objective function, considering the limitations of vehicle safety, pedestrian crossing time and cycle time, The optimization model of minimum green time is established, and an analytical algorithm for solving the minimum green time is given by using Lagrange analytical method. The optimal value of minimum green time of each phase is obtained by using stochastic approximation of objective function. Based on the analysis of the relationship between the headway time of random traffic flow and the extended time of green light, considering the probability of green light extension under various conditions, the optimization model of maximum green time is established according to their respective probability and corresponding green time. Then, on the basis of analyzing the dynamic phase sequence control of timing control, a phase sequence optimization method based on phase critical inlet queue length is proposed. In order to avoid the phenomenon of oversaturated queue of some phases and the failure to obtain the traffic right immediately, the longest phase is chosen as the next phase based on the queue length of the vehicle with critical phase entrance. Ensure the efficient use of green time. Finally, the proposed model is simulated with the VISSIM induction control module, and the optimized post-timing parameters and control logic are simulated, and compared with the traditional induction control. The simulation results show that when the vehicle arrival clothes are distributed from binomial distribution and Poisson distribution, the evaluation indexes of the proposed model are improved to different extent under different saturation conditions, and the model has better control effect.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.54

【參考文獻】

相關(guān)期刊論文 前7條

1 陳紹寬,郭謹(jǐn)一,王璇,毛保華;信號交叉口延誤計算方法的比較[J];北京交通大學(xué)學(xué)報;2005年03期

2 鄒毅峰,李夏苗;運用交通流理論確定保證交通安全的最短綠燈時間[J];長沙鐵道學(xué)院學(xué)報;1999年02期

3 李顯生 ,曹銘偉;基于需求識別和綠信比優(yōu)化的單點感應(yīng)控制方法[J];道路交通管理;2002年10期

4 過秀成;李巖;楊潔;;基于狀態(tài)空間神經(jīng)網(wǎng)絡(luò)和擴展卡爾曼濾波的主動交通感應(yīng)控制(英文)[J];Journal of Southeast University(English Edition);2010年03期

5 呂斌;牛惠民;;隨機條件下單點交叉口綠燈時間計算方法研究[J];公路交通科技;2010年02期

6 翟潤平;交通感應(yīng)控制的信號配時設(shè)計方法研究[J];中國人民公安大學(xué)學(xué)報(自然科學(xué)版);1998年03期

7 周彤梅;交叉口感應(yīng)信號控制優(yōu)化設(shè)計研究[J];公安大學(xué)學(xué)報(自然科學(xué)版);2001年02期

本文編號：1846143