本文選題：感應(yīng)信號控制　切入點：配時參數(shù)　出處：《蘭州交通大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：交叉口是城市道路交通的重要組成部分,交叉口信號控制方式很大程度上影響城市道路的通暢程度。交叉口信號控制方式主要分為定時控制和感應(yīng)控制兩類,其中感應(yīng)控制依據(jù)實時檢測交通流信息動態(tài)顯示信號控制方案,有效克服了定時控制的不足,感應(yīng)信號控制應(yīng)是今后城市交叉口信號控制的趨勢。對于感應(yīng)信號控制的研究不僅可以緩解城市交通擁堵,提高城市道路的通行能力,還可以減少交通事故的發(fā)生,在一定程度上減少環(huán)境污染。感應(yīng)信號控制參數(shù)和邏輯對于感應(yīng)控制的整體控制效率有很大的影響,論文選擇從感應(yīng)控制參數(shù)和控制邏輯兩個方面進行研究,建立了最短綠燈時間優(yōu)化模型、最大綠燈時間計算模型、給出了綠燈延長時間終止條件的優(yōu)化方案。論文首先查閱了感應(yīng)信號控制現(xiàn)有的研究成果,包括感應(yīng)控制參數(shù)的確定方法,感應(yīng)控制邏輯優(yōu)化方法,感應(yīng)控制檢測器的布設(shè)方法及優(yōu)化布設(shè)方法等,并分析了現(xiàn)有感應(yīng)控制研究成果的不足及存在的問題。目前感應(yīng)信號控制對于參數(shù)的優(yōu)化大多基于單通道模型,在多車道情況下這種單通道檢測方式優(yōu)化效果有限,沒有考慮多車道對于感應(yīng)控制參數(shù)的影響�，F(xiàn)有的文獻對于感應(yīng)控制邏輯優(yōu)化也存在問題,綠燈延長時間的終止條件只是單純的以單位綠燈時間與車頭時距大小的關(guān)系作為依據(jù),沒有考慮多車道時信號機接收到的車頭時距小于實際車頭時距的情況,還未考慮兩個相反進口道車頭時距對于綠燈延長時間的影響。針對已有研究成果存在的問題,論文首先,分析了最短綠燈時間與車輛延誤以及行車安全關(guān)系的基礎(chǔ)上,建立了一種基于風(fēng)險決策的單通最短綠燈時間優(yōu)化模型,并設(shè)計相應(yīng)的求解算法,在多車道的情況下,又建立了多通道最短綠燈時間優(yōu)化模型;其次,分析了多通道時綠燈延長時間與多個車道車頭時距的關(guān)系,建立了多種車頭時距分布的多通道綠燈延長時間計算模型,并在此基礎(chǔ)上建立了最大綠燈時間的優(yōu)化模型;然后,在分析綠燈延長時間終止條件與多車道多通道檢測方法及兩個相反進口道關(guān)系的基礎(chǔ)上,給出了綠燈延長時間終止條件的優(yōu)化方案,并與傳統(tǒng)方案進行對比;最后,利用VISSIM仿真平臺對于文中的優(yōu)化模型和優(yōu)化方案進行仿真實驗驗證。仿真結(jié)果表明文中模型與傳統(tǒng)感應(yīng)控制相比,在不同飽和度情況下都有良好控制效果。
[Abstract]:Intersection is an important part of urban road traffic. The signal control mode of intersection largely affects the smooth degree of urban road. The signal control mode of intersection is divided into two types: timing control and induction control. Among them, induction control is based on real-time detection of traffic flow information dynamic display signal control scheme, which effectively overcomes the deficiency of timing control. Induction signal control should be the trend of signal control in urban intersections in the future. The study of induction signal control can not only alleviate urban traffic congestion, improve the traffic capacity of urban roads, but also reduce the occurrence of traffic accidents. To a certain extent, the control parameters and logic of inductive signal have great influence on the overall control efficiency of induction control, so this paper chooses to study from two aspects: inductive control parameters and control logic. The optimization model of the shortest green time and the calculation model of the maximum green time are established, and the optimization scheme of the condition of prolonging the green time is given. Firstly, the paper reviews the existing research results of the induction signal control. It includes the determination method of induction control parameters, the optimization method of induction control logic, the layout method of induction control detector and the method of optimizing layout, etc. At present, the optimization of the parameters of induction signal control is mostly based on the single channel model, and the optimization effect of this single channel detection method is limited in the multi-lane case. The influence of multi-lane on induction control parameters is not considered. The termination condition of extended green time is only based on the relationship between the unit green time and the length of the head-length of the vehicle, and does not take into account the fact that the head-time distance received by the multi-lane signal machine is less than the actual head-time distance. The influence of headway time on green time extension has not been considered. In view of the existing problems, the relationship between the shortest green time and vehicle delay, as well as the traffic safety, is analyzed in this paper. In this paper, a risk decision based optimization model of the shortest green light time is established, and the corresponding algorithm is designed. In the case of multi-lane, the multi-channel shortest green time optimization model is also established. Secondly, Based on the analysis of the relationship between the extended time of green light and the time distance of multiple lanes, the calculation model of green time extension time of multi-channel is established, and the optimization model of maximum green time is established on the basis of this model. On the basis of analyzing the relationship between green time extension termination condition and multi-lane and multi-channel detection method and two opposite entry channels, the optimized scheme of green light extension time termination condition is given, and compared with the traditional scheme. The VISSIM simulation platform is used to verify the optimization model and optimization scheme in this paper. The simulation results show that the model has good control effect under different saturation conditions compared with traditional induction control.
【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】：2015
【分類號】：U491.54

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