本文選題：區(qū)域控制　切入點(diǎn)：云計(jì)算　出處：《重慶交通大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：城市的擴(kuò)展和人們生活水平的改善，出行需求急遽增加，城市問題日益嚴(yán)重，污染、擁堵、交通事故時(shí)刻威脅著人們的健康和安全。交通控制作為一種合理引導(dǎo)交通流，緩解交通擁堵和交通沖突的方式成為了治理城市交通問題的重要舉措。然而，隨著城市區(qū)域的不斷擴(kuò)大、交通狀況日益復(fù)雜，現(xiàn)有的交通控制系統(tǒng)在處理交通信息、實(shí)施區(qū)域協(xié)調(diào)控制方面弊端性越來越明顯。云計(jì)算技術(shù)以其強(qiáng)大的計(jì)算能力、存儲(chǔ)能力和簡(jiǎn)單的編程模式而著稱，它實(shí)現(xiàn)了信息之間的交互和無邊界。因而研究基于云計(jì)算的交通控制系統(tǒng)，能極大地提高系統(tǒng)的實(shí)時(shí)處理、存儲(chǔ)等能力，實(shí)現(xiàn)路口、區(qū)域之間交通信息的交互，也為實(shí)施區(qū)域甚至大范圍的戰(zhàn)略交通協(xié)調(diào)控制奠定了基礎(chǔ)。 本文首先對(duì)城市交通控制系統(tǒng)的相關(guān)知識(shí)進(jìn)行介紹，闡述了區(qū)域交通協(xié)調(diào)控制系統(tǒng)的工作原理和結(jié)構(gòu)，并對(duì)現(xiàn)有的交通控制系統(tǒng)進(jìn)行分析，指出其在交通控制中難以實(shí)現(xiàn)路口、區(qū)域之間的協(xié)調(diào)控制，，實(shí)時(shí)性較差的問題。通過分析研究云計(jì)算及其關(guān)鍵技術(shù)，創(chuàng)造性地提出將云計(jì)算技術(shù)與交通控制相結(jié)合，構(gòu)建城市交通控制云策略系統(tǒng)。本文從四個(gè)方面對(duì)城市交通控制云計(jì)算平臺(tái)進(jìn)行設(shè)計(jì)：分析交通控制云計(jì)算平臺(tái)的組成部門和使用模式；提出使用虛擬機(jī)軟件進(jìn)行虛擬化來搭建交通控制云平臺(tái)環(huán)境；研究交通控制云平臺(tái)的節(jié)點(diǎn)部署模型，采用計(jì)算節(jié)點(diǎn)計(jì)算力模型實(shí)現(xiàn)節(jié)點(diǎn)間的負(fù)載均衡；通過SOA的服務(wù)結(jié)構(gòu)，設(shè)計(jì)針對(duì)交通控制的服務(wù)目錄和服務(wù)接口。在研究交通控制云平臺(tái)的拓?fù)浣Y(jié)構(gòu)和體系結(jié)構(gòu)的基礎(chǔ)上，構(gòu)建了包含云計(jì)算資源管理子系統(tǒng)、區(qū)域協(xié)調(diào)控制子系統(tǒng)和交通信息查詢子系統(tǒng)的交通控制云策略系統(tǒng)，并對(duì)區(qū)域協(xié)調(diào)控制子系統(tǒng)的關(guān)鍵技術(shù)進(jìn)行了分析。 文章最后嘗試對(duì)交通控制系統(tǒng)的實(shí)現(xiàn)進(jìn)行初步驗(yàn)證，從系統(tǒng)的硬件、軟件和虛擬機(jī)三方面研究，搭建云計(jì)算平臺(tái)，對(duì)各子系統(tǒng)功能進(jìn)行分析和研究。最后從系統(tǒng)的平均響應(yīng)時(shí)間和平均能耗對(duì)系統(tǒng)進(jìn)行了測(cè)試，可知云計(jì)算平臺(tái)在區(qū)域控制范圍越大、控制節(jié)點(diǎn)越多的情況下，性能越強(qiáng)大。
[Abstract]:With the expansion of the city and the improvement of people's living standard, the travel demand increases sharply, the urban problems become more and more serious, pollution, congestion and traffic accidents threaten people's health and safety all the time. Traffic control is a reasonable way to guide the traffic flow. The ways to alleviate traffic jams and traffic conflicts have become important measures to deal with urban traffic problems. However, with the continuous expansion of urban areas and the increasing complexity of traffic conditions, existing traffic control systems are dealing with traffic information. The drawbacks of implementing regional coordination control are becoming increasingly apparent. Cloud computing technology is known for its powerful computing power, storage capacity and simple programming model. Therefore, the study of cloud computing based traffic control system can greatly improve the real-time processing, storage and other capabilities of the system, and realize the interaction of traffic information between intersections and regions. Also for the implementation of regional and even a wide range of strategic traffic coordination control laid the foundation. This paper first introduces the related knowledge of the urban traffic control system, expounds the working principle and structure of the regional traffic coordination control system, and analyzes the existing traffic control system. This paper points out that it is difficult to realize intersections in traffic control, coordinated control between regions, and poor real-time. By analyzing cloud computing and its key technologies, it creatively proposes to combine cloud computing technology with traffic control. This paper designs the cloud computing platform of urban traffic control from four aspects: analyzing the components and usage patterns of cloud computing platform for traffic control; The virtual machine software is used to build the traffic control cloud platform environment; the node deployment model of the traffic control cloud platform is studied; the load balance between nodes is realized by computing node computing power model; and the service structure of SOA is adopted. The service directory and service interface for traffic control are designed. Based on the study of the topology and architecture of the traffic control cloud platform, a cloud computing resource management subsystem is constructed. The traffic control cloud strategy system of the regional coordination control subsystem and the traffic information query subsystem is analyzed, and the key technologies of the regional coordination control subsystem are analyzed. Finally, this paper tries to verify the realization of the traffic control system, and builds the cloud computing platform from the hardware, software and virtual machine of the system. Finally, we test the system from the average response time and average energy consumption of the system. The results show that the larger the control range of cloud computing platform is, the stronger the performance of cloud computing platform is when there are more control nodes.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U495

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