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

【摘要】：城市的擴展和人們生活水平的改善，出行需求急遽增加，城市問題日益嚴重，污染、擁堵、交通事故時刻威脅著人們的健康和安全。交通控制作為一種合理引導交通流，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)域的不斷擴大、交通狀況日益復雜，現(xiàn)有的交通控制系統(tǒng)在處理交通信息、實施區(qū)域協(xié)調控制方面弊端性越來越明顯。云計算技術以其強大的計算能力、存儲能力和簡單的編程模式而著稱，它實現(xiàn)了信息之間的交互和無邊界。因而研究基于云計算的交通控制系統(tǒng)，能極大地提高系統(tǒng)的實時處理、存儲等能力，實現(xiàn)路口、區(qū)域之間交通信息的交互，也為實施區(qū)域甚至大范圍的戰(zhàn)略交通協(xié)調控制奠定了基礎。 本文首先對城市交通控制系統(tǒng)的相關知識進行介紹，闡述了區(qū)域交通協(xié)調控制系統(tǒng)的工作原理和結構，并對現(xiàn)有的交通控制系統(tǒng)進行分析，指出其在交通控制中難以實現(xiàn)路口、區(qū)域之間的協(xié)調控制，，實時性較差的問題。通過分析研究云計算及其關鍵技術，創(chuàng)造性地提出將云計算技術與交通控制相結合，構建城市交通控制云策略系統(tǒng)。本文從四個方面對城市交通控制云計算平臺進行設計：分析交通控制云計算平臺的組成部門和使用模式；提出使用虛擬機軟件進行虛擬化來搭建交通控制云平臺環(huán)境；研究交通控制云平臺的節(jié)點部署模型，采用計算節(jié)點計算力模型實現(xiàn)節(jié)點間的負載均衡；通過SOA的服務結構，設計針對交通控制的服務目錄和服務接口。在研究交通控制云平臺的拓撲結構和體系結構的基礎上，構建了包含云計算資源管理子系統(tǒng)、區(qū)域協(xié)調控制子系統(tǒng)和交通信息查詢子系統(tǒng)的交通控制云策略系統(tǒng)，并對區(qū)域協(xié)調控制子系統(tǒng)的關鍵技術進行了分析。 文章最后嘗試對交通控制系統(tǒng)的實現(xiàn)進行初步驗證，從系統(tǒng)的硬件、軟件和虛擬機三方面研究，搭建云計算平臺，對各子系統(tǒng)功能進行分析和研究。最后從系統(tǒng)的平均響應時間和平均能耗對系統(tǒng)進行了測試，可知云計算平臺在區(qū)域控制范圍越大、控制節(jié)點越多的情況下，性能越強大。
[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.
【學位授予單位】：重慶交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：U495

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