本文關鍵詞：城市交通信號燈動態(tài)配時優(yōu)化算法研究　出處：《沈陽大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 動態(tài)配時 多目標優(yōu)化 數(shù)解法 單點交叉路口 城市干道

【摘要】：我國的城市車輛數(shù)量在不斷增加，而現(xiàn)有的交通資源有限，城市交通擁堵問題日趨嚴重。交叉路口是城市交通網(wǎng)絡中的關鍵點，對交叉路口交通流進行合理的疏導和控制，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燈定時控制方式、人工控制方式以及單目標優(yōu)化方式在實時性、高效性、整體性等方面已無法滿足城市交通發(fā)展變化的要求。本文針對現(xiàn)有城市道路交叉路口的交通信號燈配時控制方案中存在的缺點和不足，開展了相關的研究工作。 論文首先以單點交叉路口為研究對象，提出了一種基于多目標優(yōu)化的單點交叉口動態(tài)配時算法。采用多目標優(yōu)化方法求得最佳信號配時周期，結(jié)合模糊控制算法實現(xiàn)動態(tài)追加綠燈時間。以排隊長度作為模糊控制變量，調(diào)整有效綠燈時間和周期。應用該算法，對兩相位單個交叉路口進行了仿真分析，實驗結(jié)果表明該算法與傳統(tǒng)的定時配時算法相比，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。其次，以干道上多個交叉路口為研究對象，提出了一種基于數(shù)解法的城市干道動態(tài)協(xié)調(diào)配時算法。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)干道交通流量的實時變化，動態(tài)調(diào)整干道兩端交叉路口的配時周期和綠燈時間。根據(jù)周期變化，相應調(diào)整系統(tǒng)周期和協(xié)調(diào)控制相位差，進而給出了該周期的各交叉口的配時方案�；诨旌辖煌鞯慕Y(jié)構(gòu)建立混合交通環(huán)境下的多目標優(yōu)化模型。對該算法進行實時交通模擬實驗，以平均延誤和停車次數(shù)為評價指標，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，對城市交通區(qū)域協(xié)調(diào)控制進行了探索性研究，提出了一種基于動態(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，提高整個區(qū)域的交通控制能力。 論文最后對全文工作給予了總結(jié)，指出了尚存在的不足之處，并對未來可進一步開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.
【學位授予單位】：沈陽大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U491.54;O221.6

【參考文獻】

相關期刊論文 前10條

1 顧懷中,王煒;交叉口交通信號配時模擬退火全局優(yōu)化算法[J];東南大學學報;1998年03期

2 顏艷霞;李文權(quán);;單點交叉口信號實時配時模型及螞蟻算法[J];公路交通科技;2006年11期

3 安維勝;;混合交通流連續(xù)動力學建模[J];公路交通科技;2008年05期

4 梁驍;殷勇輝;吳顏;;單交叉口信號配時的動態(tài)優(yōu)化[J];公路交通技術;2010年02期

5 郭煒杰;包曉安;;單交叉路口交通燈實時配時算法的研究[J];工業(yè)控制計算機;2012年03期

6 首艷芳;徐建閩;;信號交叉口多目標動態(tài)決策模型及其優(yōu)化方法[J];公路交通科技;2012年11期

7 李振福;李漪;孫藝萌;李賀;姚麗麗;史硯磊;尤雪;;大中城市公共交通可持續(xù)優(yōu)先發(fā)展研究現(xiàn)狀[J];北京交通大學學報(社會科學版);2013年03期

8 杜宏川;;我國智能交通系統(tǒng)發(fā)展現(xiàn)狀與對策分析[J];吉林交通科技;2009年01期

9 彭力;王巍;;利用改進型遺傳算法實現(xiàn)兩路口交通燈控制[J];計算機應用;2007年04期

10 周君;;城市干道交通信號協(xié)調(diào)控制優(yōu)化設計[J];武漢理工大學學報(交通科學與工程版);2011年05期

相關博士學位論文 前1條

1 陳小紅;混合交通環(huán)境下城市道路交通信號控制優(yōu)化模型研究[D];北京交通大學;2012年

本文編號：1374368