基于多Agent技術(shù)的城市道路交通擁堵協(xié)調(diào)控制研究
發(fā)布時間：2018-09-13 12:55
【摘要】：隨著國民經(jīng)濟(jì)的飛速發(fā)展和城市化進(jìn)程步伐的加快,交通對城市經(jīng)濟(jì)發(fā)展和人民生活水平的提高的影響顯得愈發(fā)重要。由于城市的道路建設(shè)難以跟上交通發(fā)展的速度,車輛的急劇增加和道路的增長呈現(xiàn)巨大矛盾,交通擁堵的嚴(yán)重程度也隨之急劇增大。解決交通擁堵的主要辦法是：以交通管理設(shè)施為出發(fā)點,科學(xué)組織、科學(xué)管控道路交通流,使其最大程度地有序流動,將路網(wǎng)交通的通行潛力發(fā)揮至最大。鑒于傳統(tǒng)交通控制方式交通的局限性和交通規(guī)模的復(fù)雜性,人們運用智能水平更高的技術(shù)手段來解決交通擁堵問題成為急切需求。首先,本文介紹了交通擁堵的定義、分類及演化規(guī)律,并對交通信號控制的分類、基本參數(shù)和效益評價指標(biāo)進(jìn)行了闡述。同時指出了當(dāng)前世界的幾種主流信號控制系統(tǒng)及智能控制方法。其次,本文與人工智能技術(shù)領(lǐng)域的最新理論成果—多智能體技術(shù)(Multi-Agent System,MAS)相結(jié)合,從基于多Agent技術(shù)的控制策略上來研究探討城市道路偶發(fā)性交通擁堵的協(xié)調(diào)控制。文章主要分析了Agent的特征屬性、結(jié)構(gòu)模型。同時還探討了基于多Agent的分布式交通控制系統(tǒng)結(jié)構(gòu),結(jié)合該結(jié)構(gòu)的優(yōu)點,指出擁堵協(xié)調(diào)控制中引入多Agent技術(shù)的可行性與優(yōu)越性。再次,結(jié)合多Agent技術(shù),本文以單路口Age nt為控制單元,對其組成和結(jié)構(gòu)進(jìn)行了分析。并主要研究以遺傳算法(GA)為基礎(chǔ)的單路口Agent發(fā)生交通擁堵時,其信號優(yōu)化控制的分布式結(jié)構(gòu)模型,目標(biāo)函數(shù)定為路口車輛的平均延誤,運用實數(shù)編碼方式的GA實現(xiàn)對單路口的擁堵優(yōu)化控制。分析實例表明,經(jīng)過優(yōu)化的配時方案比現(xiàn)控制方式優(yōu)越,控制效果較好。最后,本文運用博弈論的相關(guān)理論知識,通過分析描述兩個路口的問題,探索研究了簡單的兩個路口Agent的博弈過程及協(xié)調(diào)機(jī)理。結(jié)合實際交通情況來優(yōu)化兩路口的控制策略,并通過實例將優(yōu)化后的性能指標(biāo)與現(xiàn)有控制方式進(jìn)行分析對比,進(jìn)而論證Agent間協(xié)調(diào)機(jī)制有效、可行,達(dá)到了預(yù)期的效果。
[Abstract]:With the rapid development of national economy and the acceleration of urbanization, the influence of traffic on the development of urban economy and the improvement of people's living standard is becoming more and more important. Because the urban road construction is difficult to keep up with the speed of traffic development, the sharp increase of vehicles and the growth of roads present a huge contradiction, and the severity of traffic congestion also increases rapidly. The main solution to traffic congestion is to organize and control the road traffic flow scientifically, to maximize the orderly flow, and to maximize the traffic potential of the road network by taking the traffic management facilities as the starting point, scientifically organizing and managing the road traffic flow scientifically. In view of the limitation of the traditional traffic control mode and the complexity of the traffic scale, it is urgent for people to solve the traffic congestion problem by using the technology with higher intelligence level. Firstly, this paper introduces the definition, classification and evolution of traffic congestion, and expounds the classification, basic parameters and benefit evaluation index of traffic signal control. At the same time, several mainstream signal control systems and intelligent control methods in the world are pointed out. Secondly, combined with the latest theoretical achievement of artificial intelligence technology, multi-agent technology (Multi-Agent System,MAS), the coordinated control of accidental traffic congestion on urban roads is studied from the control strategy based on multi-Agent technology. This paper mainly analyzes the characteristic attribute and structure model of Agent. At the same time, the structure of distributed traffic control system based on multiple Agent is discussed. Combining the advantages of this structure, the feasibility and superiority of introducing multi-Agent technology into congestion coordination control are pointed out. Thirdly, combined with multiple Agent technology, the composition and structure of single intersection Age nt are analyzed in this paper. This paper mainly studies the distributed structure model of signal optimization control in single intersection Agent traffic jam based on genetic algorithm (GA). The objective function is defined as the average delay of intersection vehicle. The real coding GA is used to realize the optimal control of single intersection congestion. The analysis example shows that the optimized timing scheme is superior to the current control method and the control effect is better. Finally, by using the relevant theory of game theory and analyzing and describing the problems of two junctions, this paper explores the game process and coordination mechanism of Agent in two simple junctions. Combined with the actual traffic situation, the control strategy of the two junctions is optimized, and the optimized performance index is analyzed and compared with the existing control methods through an example, which proves that the coordination mechanism between Agent is effective and feasible, and achieves the expected effect.
【學(xué)位授予單位】：長沙理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.54
，
本文編號：2241233
[Abstract]:With the rapid development of national economy and the acceleration of urbanization, the influence of traffic on the development of urban economy and the improvement of people's living standard is becoming more and more important. Because the urban road construction is difficult to keep up with the speed of traffic development, the sharp increase of vehicles and the growth of roads present a huge contradiction, and the severity of traffic congestion also increases rapidly. The main solution to traffic congestion is to organize and control the road traffic flow scientifically, to maximize the orderly flow, and to maximize the traffic potential of the road network by taking the traffic management facilities as the starting point, scientifically organizing and managing the road traffic flow scientifically. In view of the limitation of the traditional traffic control mode and the complexity of the traffic scale, it is urgent for people to solve the traffic congestion problem by using the technology with higher intelligence level. Firstly, this paper introduces the definition, classification and evolution of traffic congestion, and expounds the classification, basic parameters and benefit evaluation index of traffic signal control. At the same time, several mainstream signal control systems and intelligent control methods in the world are pointed out. Secondly, combined with the latest theoretical achievement of artificial intelligence technology, multi-agent technology (Multi-Agent System,MAS), the coordinated control of accidental traffic congestion on urban roads is studied from the control strategy based on multi-Agent technology. This paper mainly analyzes the characteristic attribute and structure model of Agent. At the same time, the structure of distributed traffic control system based on multiple Agent is discussed. Combining the advantages of this structure, the feasibility and superiority of introducing multi-Agent technology into congestion coordination control are pointed out. Thirdly, combined with multiple Agent technology, the composition and structure of single intersection Age nt are analyzed in this paper. This paper mainly studies the distributed structure model of signal optimization control in single intersection Agent traffic jam based on genetic algorithm (GA). The objective function is defined as the average delay of intersection vehicle. The real coding GA is used to realize the optimal control of single intersection congestion. The analysis example shows that the optimized timing scheme is superior to the current control method and the control effect is better. Finally, by using the relevant theory of game theory and analyzing and describing the problems of two junctions, this paper explores the game process and coordination mechanism of Agent in two simple junctions. Combined with the actual traffic situation, the control strategy of the two junctions is optimized, and the optimized performance index is analyzed and compared with the existing control methods through an example, which proves that the coordination mechanism between Agent is effective and feasible, and achieves the expected effect.
【學(xué)位授予單位】：長沙理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.54
，
本文編號：2241233
本文鏈接：http://sikaile.net/kejilunwen/jiaotonggongchenglunwen/2241233.html
最近更新
教材專著
