本文選題：交通工程 + 動(dòng)態(tài)配時(shí)��； 參考：《南昌航空大學(xué)》2014年碩士論文

【摘要】：隨著社會(huì)的不斷進(jìn)步和汽車工業(yè)的不斷發(fā)展，私家車的擁有量迅速上升，導(dǎo)致城市交通擁堵問題凸顯。交通擁堵直接導(dǎo)致汽車尾氣排放增加、空氣質(zhì)量下降，以及出行者的行程時(shí)間增長等等，帶來了居民生活質(zhì)量的下降。怎樣有效的緩解城市交通擁擠、提高城市道路網(wǎng)的通行效用成為迫切需要解決的問題。 智能交通系統(tǒng)（ITS）為解決城市道路擁擠，改善交通狀況，提高路網(wǎng)的通行效用提供了新的方法，而先進(jìn)交通管理系統(tǒng)（ATMS）是ITS的核心部分之一，城市信號(hào)交叉口控制系統(tǒng)是ATMS的關(guān)鍵部分。本論文以城市路網(wǎng)中信號(hào)交叉口控制系統(tǒng)為研究對(duì)象，重點(diǎn)研究信號(hào)控制系統(tǒng)的信號(hào)配時(shí)方法。具體內(nèi)容如下： 第一章緒論部分，介紹對(duì)信號(hào)交叉口控制系統(tǒng)進(jìn)行探討的研究背景及研究目的和意義，分析國內(nèi)外專家學(xué)者對(duì)信號(hào)交叉口控制系統(tǒng)配時(shí)方法的研究現(xiàn)狀，指出存在的問題，并給出了研究的主要內(nèi)容。 第二章介紹信號(hào)交叉口控制系統(tǒng)理論。主要闡述信號(hào)交叉口控制系統(tǒng)的配時(shí)參數(shù)、四個(gè)評(píng)價(jià)指標(biāo)和信號(hào)配時(shí)的三種基本方法。 第三章為了提高整個(gè)路網(wǎng)的通行效用，根據(jù)周期時(shí)長、相位綠信比與機(jī)動(dòng)車延誤特征，建立周期波動(dòng)的動(dòng)態(tài)信號(hào)配時(shí)的非線性規(guī)劃模型。信號(hào)控制系統(tǒng)根據(jù)路網(wǎng)中各路段機(jī)動(dòng)車的流量特征，進(jìn)行動(dòng)態(tài)調(diào)整信號(hào)周期時(shí)長和各相位綠信比的最優(yōu)配置，從而合理分配各進(jìn)口車道的通行權(quán)。結(jié)果表明：運(yùn)用動(dòng)態(tài)信號(hào)配時(shí)法和固定信號(hào)配時(shí)法交通分配的結(jié)果基本一致，運(yùn)用動(dòng)態(tài)信號(hào)配時(shí)法與固定信號(hào)配時(shí)法相比，動(dòng)態(tài)信號(hào)配時(shí)法使機(jī)動(dòng)車在十字交叉口上效用提高10%左右，在T型交叉口上效用提高30%左右，較好地適應(yīng)各種交通狀態(tài)的變化。在非機(jī)動(dòng)車交通量較小的交叉口，動(dòng)態(tài)信號(hào)配時(shí)有利于非機(jī)動(dòng)車通行效用的提高；而在交通量較大的交叉口上，動(dòng)態(tài)信號(hào)配時(shí)對(duì)非機(jī)動(dòng)車的通行效用有較小量的波動(dòng)。 第四章為了提高相鄰交叉口信號(hào)控制系統(tǒng)協(xié)調(diào)控制的通行效用，根據(jù)周期時(shí)長、相位綠信比、相位差與協(xié)調(diào)相位延誤、消散量特征和各入口方向車輛的流量特征，建立相鄰信號(hào)交叉口控制系統(tǒng)配時(shí)參數(shù)的雙目標(biāo)動(dòng)態(tài)優(yōu)化模型。通過分層序列方法，對(duì)雙目標(biāo)動(dòng)態(tài)優(yōu)化模型進(jìn)行求解。例證表明：動(dòng)態(tài)信號(hào)控制使協(xié)調(diào)相位直行車道的效用顯著提高，在相鄰交叉口間的路段長度分別為200m、350m、550m，動(dòng)態(tài)信號(hào)雙向協(xié)調(diào)相位控制直行車道的效用比固定信號(hào)的控制效用分別提高了14.47%、11.01%、7.91%，在相鄰交叉口間的路段長度較短時(shí)，對(duì)相鄰交叉口進(jìn)行協(xié)調(diào)相位控制非常有必要，同時(shí)動(dòng)態(tài)信號(hào)控制比固定信號(hào)控制的通行能力提高了約2.85%。 第五章總結(jié)論文中所做的主要工作，以及論文創(chuàng)新點(diǎn)，，指出論文中存在一些不足之處，并給出今后進(jìn)一步努力的方向。
[Abstract]:With the progress of society and the development of automobile industry, the number of private cars is increasing rapidly, which leads to the problem of urban traffic congestion. Traffic jams directly lead to the increase of vehicle exhaust emissions, the decline of air quality, and the increase of travel time of travelers, which bring about the decline of residents' quality of life. How to effectively alleviate urban traffic congestion and improve the utility of urban road network becomes an urgent problem to be solved. Intelligent Transportation system (its) provides a new method for solving urban road congestion, improving traffic conditions and improving the traffic utility of road network. The advanced traffic management system (ATMS) is one of the core parts of ITS. Urban signalized intersection control system is a key part of ATMS. In this paper, the control system of signal intersection in urban road network is taken as the research object, and the signal timing method of the signal control system is studied emphatically. The details are as follows: The first chapter introduces the background, purpose and significance of the research on the signalized intersection control system, analyzes the current situation of the research on the timing method of the signal intersection control system, and points out the existing problems. The main contents of the research are also given. The second chapter introduces the theory of signal intersection control system. This paper mainly describes the timing parameters, four evaluation indexes and three basic methods of signal timing in signalized intersection control system. In chapter 3, in order to improve the traffic utility of the whole road network, the nonlinear programming model of dynamic signal timing of periodic fluctuation is established according to the characteristics of cycle length, phase green signal ratio and vehicle delay. The signal control system dynamically adjusts the optimal allocation of the duration of the signal cycle and the green signal ratio of each phase according to the characteristics of the vehicle flow in each section of the road network so as to reasonably allocate the traffic rights of each entrance lane. The results show that the results of traffic assignment using dynamic signal timing method and fixed signal timing method are basically the same, and the use of dynamic signal timing method is compared with that of fixed signal timing method. The dynamic signal timing method can improve the utility of motor vehicles at crossroads by about 10% and at T-type intersections by about 30%. At the intersection with small non-motor vehicle traffic volume, the dynamic signal timing is conducive to the improvement of the non-motor vehicle traffic utility, while at the intersection with larger traffic volume, the dynamic signal timing has a small fluctuation to the non-motor vehicle traffic utility. In chapter 4, in order to improve the effectiveness of coordinated control of the signal control system at adjacent intersections, according to the cycle length, phase green signal ratio, phase difference and coordinated phase delay, dissipation characteristics and flow characteristics of vehicles in each entrance direction, A two-objective dynamic optimization model for timing parameters of adjacent signal intersection control system is established. The two-objective dynamic optimization model is solved by hierarchical sequence method. Examples show that dynamic signal control can significantly improve the effectiveness of the coordinated phase straight lane. The length of the road between adjacent intersections is 200 m / 350m / 550m.The utility of the dynamic signal two-way coordinated phase control carriageway is 14.4747 / 11.01 / 7.91, respectively, compared with that of the fixed signal, and the length of the road section between the adjacent intersections is shorter than that of the fixed signals. It is necessary to coordinate the phase control of adjacent intersections, and the traffic capacity of dynamic signal control is increased by about 2.85 compared with that of fixed signal control. The fifth chapter summarizes the main work done in the paper, as well as the innovation points of the paper, points out that there are some shortcomings in the paper, and gives the direction of further efforts in the future.
【學(xué)位授予單位】：南昌航空大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.23;U491.54

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 南天偉;敖夢(mèng)雅;魏麗英;;基于模糊神經(jīng)網(wǎng)絡(luò)的城市干道信號(hào)協(xié)調(diào)控制[J];公路交通科技;2012年01期

2 朱和;常玉林;;基于靈活相位的雙向綠波協(xié)調(diào)控制[J];公路交通科技;2013年07期

3 梁杰;徐建閩;;周期不同的多交叉口協(xié)調(diào)控制方法[J];公路交通科技;2013年08期

4 許倫輝;劉邦明;;城市交通信號(hào)控制與仿真[J];公路交通科技;2013年09期

5 朱文興,賈磊;城市交通主干路相位差優(yōu)化研究[J];計(jì)算機(jī)工程與應(yīng)用;2005年20期

6 張萌萌;賈磊;鄒難;;單點(diǎn)定時(shí)信號(hào)配時(shí)的多目標(biāo)優(yōu)化模型[J];計(jì)算機(jī)工程;2011年06期

7 孫超;徐建閩;;城市單點(diǎn)交叉口的信號(hào)配時(shí)優(yōu)化研究[J];交通與計(jì)算機(jī);2008年06期

8 張本;商蕾;高孝洪;;基于遺傳算法的交叉口信號(hào)配時(shí)多目標(biāo)優(yōu)化[J];武漢理工大學(xué)學(xué)報(bào)(交通科學(xué)與工程版);2010年04期

9 樹愛兵;苑雷;趙永進(jìn);;城市交通信號(hào)干線協(xié)調(diào)控制系統(tǒng)研究[J];中國交通信息產(chǎn)業(yè);2009年01期

10 徐立群,吳聰,楊兆升;信號(hào)交叉口通行能力計(jì)算方法[J];交通運(yùn)輸工程學(xué)報(bào);2001年01期

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