發(fā)布時(shí)間：2018-07-09 11:49

  本文選題：入口匝道控制 + 多車道��； 參考：《西南交通大學(xué)》2017年碩士論文

【摘要】：我國城市高架快速路多呈現(xiàn)高架快速路與地面快速路相結(jié)合的形式,在建設(shè)初期對區(qū)域交通狀況存在短期改善作用。但隨著運(yùn)營時(shí)間的增長,在車輛保有量逐年增加、高架快速路誘增交通量等影響下,城市高架快速路擁擠日趨嚴(yán)重。匝道控制作為能有效緩解城市快速路擁擠的交通控制方法之一,研究并應(yīng)用匝道控制策略對降低合流沖突、改善主線運(yùn)行狀況等存在重要意義。ALINEA作為應(yīng)用較為廣泛、控制效果較優(yōu)的經(jīng)典入口匝道控制方法,本文在大量查閱ALINEA控制策略相關(guān)文獻(xiàn)基礎(chǔ)上,概括了經(jīng)典ALINEA應(yīng)用中存在的缺陷以及可能改進(jìn)方向,并將ALINEA擴(kuò)展算法劃分為基于固定參數(shù)、基于參數(shù)調(diào)整和基于協(xié)調(diào)控制三類。繼而采用基于快速路交通錄像資料的交通流模型參數(shù)測量方法,對成都市二環(huán)高架路進(jìn)行了交通流特性調(diào)查,基于視頻資料提取的車速-車頭時(shí)距數(shù)據(jù),重點(diǎn)分析了二環(huán)高架路主線交通流運(yùn)行特征以及內(nèi)外側(cè)車道的交通流運(yùn)行特征差異。進(jìn)而依據(jù)交通流運(yùn)行特征差異分析的結(jié)果,基于宏觀交通流模型META與METANET進(jìn)行了考慮多車道的交通流模型簡化研究,建立了城市高架快速路密度動態(tài)方程與排隊(duì)長度動態(tài)方程,基于動態(tài)方程推導(dǎo)了密度微分方程與排隊(duì)長度微分方程。為解決經(jīng)典ALINEA在調(diào)節(jié)率確定過程中未區(qū)分考慮內(nèi)外側(cè)車道的缺陷,對經(jīng)典ALINEA算法展開多車道優(yōu)化研究,提出了基于多車道的ALINEA優(yōu)化控制模型(ML-ALINEA),建立了匝道調(diào)節(jié)率折減系數(shù)的實(shí)時(shí)調(diào)整算法。將減小入口匝道密度、凸顯高架快速路各車道間的交通流特性差異綜合考慮至控制策略目標(biāo)的制定中,設(shè)計(jì)了對應(yīng)動態(tài)方程與微分方程的誤差函數(shù)和閉環(huán)系統(tǒng),基于動態(tài)方程提出了基于密度動態(tài)方程的多車道入口匝道控制算法;基于微分方程提出了基于密度微分方程的多車道入口匝道控制算法。最后為驗(yàn)證考慮多車道的入口匝道優(yōu)化控制策略的有效性以及控制效果,設(shè)計(jì)了對應(yīng)的仿真試驗(yàn)場景,基于參數(shù)標(biāo)定和VissimVAP、COM接口實(shí)現(xiàn)了各場景的仿真,利用評價(jià)指標(biāo)對比各場景的控制效果,結(jié)果表明各控制策略均優(yōu)于經(jīng)典ALINEA。
[Abstract]:Most of the urban elevated freeways in China take the form of the combination of elevated freeway and ground expressway, which can improve the regional traffic condition in the early stage of construction. However, with the increase of operation time, the traffic congestion of urban elevated expressway is becoming more and more serious under the influence of the increase of vehicle ownership and the induced traffic volume of elevated freeway. Ramp control is one of the traffic control methods that can effectively alleviate the congestion of urban expressway. It is important to study and apply ramp control strategy to reduce the confluence conflict and improve the main line operation. The classical on-ramp control method with better control effect is discussed in this paper. On the basis of consulting a lot of literature about ALINEA control strategy, this paper summarizes the defects in the application of classical ALINEA and its possible direction of improvement. The extended AlinEA algorithm is divided into three categories: fixed parameter based on parameter adjustment and coordination based control. Then the traffic flow characteristics of the second Ring Viaduct in Chengdu are investigated by using the traffic flow model parameter measurement method based on the traffic video data of the expressway, and the velocity-front time distance data are extracted based on the video data. The traffic flow characteristics of the main line of the second Ring Viaduct and the traffic flow characteristics of the inner and outer driveway are analyzed. Based on the results of traffic flow characteristic difference analysis and based on the macroscopic traffic flow model meta and Meta net, the simplified traffic flow model considering multi-lane is studied, and the dynamic equations of urban elevated expressway density and queue length are established. Based on the dynamic equation, the density differential equation and the queue length differential equation are derived. In order to solve the problem that the classical ALINEA did not distinguish between the inner and outer lanes in the process of determining the adjustment rate, the multi-lane optimization study was carried out on the classical ALINEA algorithm. A multi-lane ALINEA optimal control model (ML-ALINEA) is proposed, and a real-time adjustment algorithm of ramp adjustment rate reduction coefficient is established. In order to reduce the on-ramp density and highlight the difference of traffic flow characteristics between different lanes of elevated freeway, the error function and closed-loop system corresponding to dynamic equation and differential equation are designed. Based on the dynamic equation, the multi-lane on-ramp control algorithm based on the density dynamic equation is proposed, and the multi-lane on-ramp control algorithm based on the density differential equation is proposed based on the differential equation. Finally, in order to verify the effectiveness and control effect of the multi-lane on-ramp optimal control strategy, a corresponding simulation test scenario is designed. The simulation of each scenario is realized based on parameter calibration and VissimVAPC com interface. The results show that each control strategy is superior to the classical ALINEA.
【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】：2017
【分類號】：U491

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本文編號：2109266