干線協(xié)調(diào)控制配時(shí)參數(shù)優(yōu)化模型研究
發(fā)布時(shí)間：2019-02-12 13:10
【摘要】：交通擁堵問(wèn)題已成為現(xiàn)今的熱點(diǎn)話題,交通控制在城市交通運(yùn)行效率中起到關(guān)鍵作用。隨著交通控制系統(tǒng)理論和技術(shù)的日益成熟,在一定條件下,將城市道路網(wǎng)中的信號(hào)交叉口由單點(diǎn)信號(hào)控制升級(jí)到干線協(xié)調(diào)控制,能夠促進(jìn)城市交通效率的大幅度提高,有效改善交通現(xiàn)狀,解決各種交通問(wèn)題。干線協(xié)調(diào)控制的基本參數(shù)包括公共周期時(shí)長(zhǎng)、綠信比和相位差。摒棄以往單獨(dú)優(yōu)化一個(gè)參數(shù)或者利用智能算法進(jìn)行全局優(yōu)化的方法,構(gòu)建公共周期時(shí)長(zhǎng)與綠信比聯(lián)合優(yōu)化模型,再結(jié)合合適的相位差優(yōu)化方法,形成最佳干線協(xié)調(diào)控制方案。為系統(tǒng)闡述論文研究?jī)?nèi)容,將全文劃分為四個(gè)部分。第一部分首先闡述了研究背景及意義,對(duì)國(guó)內(nèi)外研究現(xiàn)狀及存在問(wèn)題進(jìn)行了總結(jié),隨后介紹了研究目標(biāo)、研究?jī)?nèi)容、研究方法及技術(shù)路線。第二部分詳細(xì)分析了交通流運(yùn)行的性能指標(biāo),重點(diǎn)研究了車(chē)均延誤模型的適用性。第三部分根據(jù)前面的分析,選擇合適的通行能力公式和車(chē)均延誤模型構(gòu)建公共周期時(shí)長(zhǎng)與綠信比聯(lián)合優(yōu)化模型。該模型以通行能力最大、延誤最小為雙目標(biāo)函數(shù),以有效綠燈時(shí)間為決策變量,利用MATLAB軟件編程求解。最后,結(jié)合相位差優(yōu)化方法,構(gòu)建干線協(xié)調(diào)控制優(yōu)化方案。第四部分為案例分析。選取合適的案例,按照所提出的優(yōu)化模型設(shè)計(jì)配時(shí)方案,分析優(yōu)化方案相對(duì)于現(xiàn)狀方案的優(yōu)化效果。進(jìn)一步分析不同目標(biāo)函數(shù)與優(yōu)化算法對(duì)交通運(yùn)行效果的影響,設(shè)計(jì)多種優(yōu)化方案,利用VISSIM仿真模型進(jìn)行方案比選,得到最佳優(yōu)化方案,驗(yàn)證所提出的干線協(xié)調(diào)控制配時(shí)參數(shù)優(yōu)化模型的有效性。研究成果表明,HCM2000車(chē)均延誤模型的使用性和適用性最佳。與現(xiàn)狀信號(hào)配時(shí)方案相比,最小化交叉口車(chē)輛總延誤與總通行能力之比,結(jié)合相位差優(yōu)化方法的干線協(xié)調(diào)控制配時(shí)參數(shù)優(yōu)化模型能夠在增加干線交叉口通行能力的同時(shí)降低車(chē)輛延誤。因此,優(yōu)化模型能夠合理設(shè)置干線協(xié)調(diào)控制配時(shí)參數(shù),為緩解城市交通擁堵提供依據(jù)與參考。
[Abstract]:Traffic congestion has become a hot topic. Traffic control plays a key role in urban traffic efficiency. With the development of traffic control system theory and technology, under certain conditions, the signal intersection in urban road network can be upgraded from single signal control to trunk line coordination control, which can greatly improve the urban traffic efficiency. Effectively improve the traffic situation, solve all kinds of traffic problems. The basic parameters of trunk line coordination control include common cycle time, green signal ratio and phase difference. This paper discards the previous methods of single parameter optimization or global optimization using intelligent algorithm, constructs the joint optimization model of common cycle time and green signal ratio, and combines the appropriate phase difference optimization method to form the optimal trunk line coordinated control scheme. This paper is divided into four parts. The first part describes the background and significance of the research, summarizes the current research situation and existing problems at home and abroad, and then introduces the research objectives, research contents, research methods and technical routes. In the second part, the performance index of traffic flow is analyzed in detail, and the applicability of average delay model is studied. In the third part, according to the previous analysis, we select the appropriate capacity formula and vehicle average delay model to construct the joint optimization model of public cycle time and green letter ratio. In this model, the maximum capacity and the minimum delay are two objective functions, and the effective green time is taken as the decision variable. The model is solved by MATLAB software. Finally, combining the phase difference optimization method, the coordinated control optimization scheme of trunk line is constructed. The fourth part is case analysis. According to the proposed optimization model, the time matching scheme is designed and the optimization effect of the optimization scheme relative to the current scheme is analyzed. Further analyzing the influence of different objective functions and optimization algorithms on the traffic operation effect, designing a variety of optimization schemes, using the VISSIM simulation model to compare and select the scheme, get the best optimization scheme. Verify the effectiveness of the proposed coordinated control timing parameter optimization model. The research results show that the HCM2000 vehicle average delay model has the best performance and applicability. Compared with the current signal timing scheme, the ratio of total vehicle delay to total capacity at intersection is minimized. Combined with phase difference optimization method, the optimization model of coordinated control timing parameters of trunk line can increase the traffic capacity of the main road intersection and reduce the vehicle delay at the same time. Therefore, the optimized model can reasonably set the parameters of coordinated control of the trunk line and provide the basis and reference for alleviating urban traffic congestion.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：U491.54
本文編號(hào)：2420466
[Abstract]:Traffic congestion has become a hot topic. Traffic control plays a key role in urban traffic efficiency. With the development of traffic control system theory and technology, under certain conditions, the signal intersection in urban road network can be upgraded from single signal control to trunk line coordination control, which can greatly improve the urban traffic efficiency. Effectively improve the traffic situation, solve all kinds of traffic problems. The basic parameters of trunk line coordination control include common cycle time, green signal ratio and phase difference. This paper discards the previous methods of single parameter optimization or global optimization using intelligent algorithm, constructs the joint optimization model of common cycle time and green signal ratio, and combines the appropriate phase difference optimization method to form the optimal trunk line coordinated control scheme. This paper is divided into four parts. The first part describes the background and significance of the research, summarizes the current research situation and existing problems at home and abroad, and then introduces the research objectives, research contents, research methods and technical routes. In the second part, the performance index of traffic flow is analyzed in detail, and the applicability of average delay model is studied. In the third part, according to the previous analysis, we select the appropriate capacity formula and vehicle average delay model to construct the joint optimization model of public cycle time and green letter ratio. In this model, the maximum capacity and the minimum delay are two objective functions, and the effective green time is taken as the decision variable. The model is solved by MATLAB software. Finally, combining the phase difference optimization method, the coordinated control optimization scheme of trunk line is constructed. The fourth part is case analysis. According to the proposed optimization model, the time matching scheme is designed and the optimization effect of the optimization scheme relative to the current scheme is analyzed. Further analyzing the influence of different objective functions and optimization algorithms on the traffic operation effect, designing a variety of optimization schemes, using the VISSIM simulation model to compare and select the scheme, get the best optimization scheme. Verify the effectiveness of the proposed coordinated control timing parameter optimization model. The research results show that the HCM2000 vehicle average delay model has the best performance and applicability. Compared with the current signal timing scheme, the ratio of total vehicle delay to total capacity at intersection is minimized. Combined with phase difference optimization method, the optimization model of coordinated control timing parameters of trunk line can increase the traffic capacity of the main road intersection and reduce the vehicle delay at the same time. Therefore, the optimized model can reasonably set the parameters of coordinated control of the trunk line and provide the basis and reference for alleviating urban traffic congestion.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：U491.54
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 魏朗,陳蔭三,飯?zhí)锕Ь?城市主干道交通信號(hào)群系統(tǒng)控制的參數(shù)優(yōu)化設(shè)計(jì)模式及其模擬系統(tǒng)開(kāi)發(fā)[J];交通運(yùn)輸工程學(xué)報(bào);2001年01期
相關(guān)碩士學(xué)位論文 前1條
1 宋現(xiàn)敏;交叉口協(xié)調(diào)控制相位差優(yōu)化方法研究[D];吉林大學(xué);2005年
，本文編號(hào)：2420466
本文鏈接：http://sikaile.net/kejilunwen/daoluqiaoliang/2420466.html
最近更新
教材專(zhuān)著
