【摘要】：城市交通網絡是我們賴以生存的物質條件,承載著人類活動的基本要素,同時也是一個地區經濟文化發展的助推力量,影響著城市的經濟建設腳步和運行效率。其本身就是一個復雜的巨系統,主要包括道路子系統,管理子系統,流量子系統,各個子系統之間相互影響,功能集聚,使得它的運行規律也相對復雜。因此我們在城市交通網絡的研究過程中,不能割裂開來,而是要以一個整體全局的觀點去深入研究,更好地理解城市交通網絡內在的運行機理和規律。本文我們結合交通路網模型知識,元胞自動機理論以及自適應局部路由策略來綜合考量城市交通路網,分別從宏觀和微觀兩方面入手,針對實際交通網絡中車輛擁塞的疏導提出切實可行的路由策略,通過局部信息的控制以及優化達到提高整個網絡容量的目的,為人們出行提供更加便捷的交通環境。以下為本文研究的具體內容:(1)從宏觀的角度出發,建立城市復雜動態路網模型。綜合考慮了路周信息如商業圈,學校,企業所在地等影響因素和動態時變因素對整個交通網絡的影響,包括人流量和車流量以及不確定的天氣情況信息。確定這局部因素對整個網絡擁塞所帶來的負面影響。(2)從微觀的角度出發,基于駕駛員流動性偏好的元胞自動機理論,建立交通流模型。主要考慮駕駛員的個性特點而產生的駕駛員之間的異步行為對整個交通網絡的影響。(3)交通疏導策略研究。結合模擬的交通數據如:車輛個數,路段暢通情況,預測信息等海量信息數據,運用自適應局部動態誘導的方法,結合網絡中動態信息的變化,如拓撲結構的變化或是車輛等待排隊時間等因素,局部搜索適應度高的鄰居節點,通過引入可調節參數?的不同取值,來給定車輛傳輸的實際路徑,直至車輛到達目標節點并從網絡中消失。
[Abstract]:Urban traffic network is the material condition on which we depend, carries the basic elements of human activities, and is also the booster of the economic and cultural development of a region, which affects the pace and efficiency of urban economic construction. It is a complex giant system, which mainly includes road subsystem, management subsystem, flow subsystem, each subsystem affects each other, and the function aggregates, which makes its operation law relatively complex. Therefore, in the research process of urban traffic network, we should not be separated, but should study deeply from the point of view of the whole situation, and better understand the internal operation mechanism and law of urban traffic network. In this paper, based on the knowledge of traffic network model, cellular automaton theory and adaptive local routing strategy, we consider the urban traffic network synthetically. From the macro and micro aspects, we propose a feasible routing strategy for the dredging of vehicle congestion in the actual traffic network. Through the control and optimization of local information, we can achieve the purpose of improving the capacity of the whole network, so as to provide a more convenient traffic environment for people to travel. The following are the specific contents of this paper: (1) from the macro point of view, the urban complex dynamic road network model is established. The influence of road and traffic information such as business circle, school, enterprise location and dynamic time-varying factors on the whole traffic network is considered, including passenger flow and traffic flow, as well as uncertain weather information. The negative influence of this local factor on the whole network congestion is determined. (2) from the microscopic point of view, based on the cellular automaton theory of driver liquidity preference, the traffic flow model is established. This paper mainly considers the influence of asynchronous behavior between drivers on the whole traffic network caused by the personality characteristics of drivers. (3) Research on traffic grooming strategy. Combined with the simulated traffic data such as the number of vehicles, the smooth flow of road sections, prediction information and other massive information data, using the method of adaptive local dynamic induction, combined with the changes of dynamic information in the network, such as the change of topological structure or waiting time of vehicles, the local search for neighbor nodes with high adaptability is carried out, and the adjustable parameters are introduced. The actual path of the vehicle transmission is given until the vehicle reaches the target node and disappears from the network.
【學位授予單位】：沈陽大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U491

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本文編號：2504566