本文關(guān)鍵詞：城市交通信號(hào)燈動(dòng)態(tài)配時(shí)優(yōu)化算法研究　出處：《沈陽(yáng)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 動(dòng)態(tài)配時(shí) 多目標(biāo)優(yōu)化 數(shù)解法 單點(diǎn)交叉路口 城市干道

【摘要】：我國(guó)的城市車輛數(shù)量在不斷增加，而現(xiàn)有的交通資源有限，城市交通擁堵問(wèn)題日趨嚴(yán)重。交叉路口是城市交通網(wǎng)絡(luò)中的關(guān)鍵點(diǎn)，對(duì)交叉路口交通流進(jìn)行合理的疏導(dǎo)和控制，是有效提高城市道路通行能力的主要途徑�，F(xiàn)有的交叉路口交通信號(hào)燈定時(shí)控制方式、人工控制方式以及單目標(biāo)優(yōu)化方式在實(shí)時(shí)性、高效性、整體性等方面已無(wú)法滿足城市交通發(fā)展變化的要求。本文針對(duì)現(xiàn)有城市道路交叉路口的交通信號(hào)燈配時(shí)控制方案中存在的缺點(diǎn)和不足，開(kāi)展了相關(guān)的研究工作。 論文首先以單點(diǎn)交叉路口為研究對(duì)象，提出了一種基于多目標(biāo)優(yōu)化的單點(diǎn)交叉口動(dòng)態(tài)配時(shí)算法。采用多目標(biāo)優(yōu)化方法求得最佳信號(hào)配時(shí)周期，結(jié)合模糊控制算法實(shí)現(xiàn)動(dòng)態(tài)追加綠燈時(shí)間。以排隊(duì)長(zhǎng)度作為模糊控制變量，調(diào)整有效綠燈時(shí)間和周期。應(yīng)用該算法，對(duì)兩相位單個(gè)交叉路口進(jìn)行了仿真分析，實(shí)驗(yàn)結(jié)果表明該算法與傳統(tǒng)的定時(shí)配時(shí)算法相比，在減少車輛延誤和停車次數(shù)等方面均具有較好的優(yōu)勢(shì)。其次，以干道上多個(gè)交叉路口為研究對(duì)象，提出了一種基于數(shù)解法的城市干道動(dòng)態(tài)協(xié)調(diào)配時(shí)算法。采用數(shù)解法求解協(xié)調(diào)控制最優(yōu)起始相位差，根據(jù)干道交通流量的實(shí)時(shí)變化，動(dòng)態(tài)調(diào)整干道兩端交叉路口的配時(shí)周期和綠燈時(shí)間。根據(jù)周期變化，相應(yīng)調(diào)整系統(tǒng)周期和協(xié)調(diào)控制相位差，進(jìn)而給出了該周期的各交叉口的配時(shí)方案�；诨旌辖煌鞯慕Y(jié)構(gòu)建立混合交通環(huán)境下的多目標(biāo)優(yōu)化模型。對(duì)該算法進(jìn)行實(shí)時(shí)交通模擬實(shí)驗(yàn)，以平均延誤和停車次數(shù)為評(píng)價(jià)指標(biāo)，結(jié)果表明該算法可以有效提高城市干道多交叉路口的通行效率。最后，對(duì)城市交通區(qū)域協(xié)調(diào)控制進(jìn)行了探索性研究，提出了一種基于動(dòng)態(tài)子區(qū)劃分和主干道優(yōu)先協(xié)調(diào)控制策略的區(qū)域協(xié)調(diào)控制算法。算法中，，將區(qū)域信號(hào)協(xié)調(diào)控制分解成兩部分，可有效降低區(qū)域交通協(xié)調(diào)控制的難度，提高整個(gè)區(qū)域的交通控制能力。 論文最后對(duì)全文工作給予了總結(jié)，指出了尚存在的不足之處，并對(duì)未來(lái)可進(jìn)一步開(kāi)展的工作給予了展望。
[Abstract]:The number of urban vehicles in China is increasing, but the existing traffic resources are limited, the problem of urban traffic congestion is becoming more and more serious. Intersection is the key point in the urban transportation network. Reasonable diversion and control of traffic flow at intersections is the main way to effectively improve the capacity of urban roads. Manual control and single objective optimization are real-time and efficient. The integrity and other aspects can not meet the requirements of urban traffic development and change. This paper aims at the shortcomings and shortcomings of the existing traffic signal lights timing control scheme of urban road intersections. Related research work was carried out. In this paper, a dynamic timing algorithm based on multi-objective optimization is proposed for single-point intersection, and the optimal signal timing period is obtained by using multi-objective optimization method. Combined with fuzzy control algorithm to realize dynamic additional green time. Taking queue length as fuzzy control variable, the effective green time and period are adjusted. Using this algorithm, the simulation analysis of two-phase single intersection is carried out. The experimental results show that the algorithm has better advantages in reducing vehicle delay and stopping times than the traditional timing timing algorithm. Secondly, many intersections on the main road are taken as the research object. This paper presents a dynamic coordinated timing algorithm for urban trunk roads based on numerical solution, which is used to solve the optimal initial phase difference of coordinated control, and according to the real time variation of traffic flow of trunk roads. Dynamically adjust the timing period and green time at the junction at both ends of the main road. Adjust the system cycle and coordinate the phase difference according to the period change. Then, the timing scheme of the intersections in this period is given. Based on the structure of the mixed traffic flow, the multi-objective optimization model in the mixed traffic environment is established, and the real-time traffic simulation experiment is carried out on the algorithm. With the average delay and the number of stops as the evaluation index, the results show that the algorithm can effectively improve the efficiency of multi-intersection of urban trunk roads. Finally, the coordinated control of urban traffic area is studied. In this paper, a region coordination control algorithm based on dynamic subdivision and main road priority coordination control strategy is proposed. In the algorithm, the regional signal coordination control is decomposed into two parts. It can effectively reduce the difficulty of regional traffic coordination control and improve the traffic control ability of the whole region. At the end of the paper, the paper summarizes the work of the paper, points out the shortcomings, and looks forward to the future work that can be carried out in the future.
【學(xué)位授予單位】：沈陽(yáng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.54;O221.6

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