本文關(guān)鍵詞：特種車通行影響下城市交通流元胞自動機模型研究　出處：《哈爾濱工業(yè)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 交通流 元胞自動機 特種車 數(shù)值模擬

【摘要】：目前，我國城市機動車保有量隨著經(jīng)濟(jì)發(fā)展持續(xù)增加，交通運輸?shù)木置嫒遮吘o張，城市交通的擁堵、事故頻發(fā)等問題已成為阻礙經(jīng)濟(jì)社會進(jìn)步的主要問題，面對這些城市交通問題，完成好相應(yīng)的應(yīng)急救援任務(wù)非常關(guān)鍵。這要求對各種條件下道路狀況的交通流特性有全面的了解，才能科學(xué)的管理和控制好城市交通。交通流理論的研究涉及很多領(lǐng)域和方法，，如統(tǒng)計學(xué)中的概率論、物理中的流體力學(xué)及運動學(xué)，還有車輛跟馳模型和元胞自動機模型等，而其中的元胞自動機模型對于模擬微觀車輛的交通流現(xiàn)象非常適合。 本文首先在經(jīng)典的NS元胞自動機模型基礎(chǔ)上增加車輛換道規(guī)則，并將原來的隨機慢化概率函數(shù)化，建立了基于動態(tài)慢化概率的雙車道模型（DCA模型）。其次將特種車的通行影響和不同行駛方式引入該模型中，建立了有特種車通行影響的雙車道交通流元胞自動機模型（D-SDCA模型），采用Matlab編程對模型進(jìn)行了數(shù)值模擬與驗證。最后又在D-SDCA模型的基礎(chǔ)上建立了多車道模型，并分析了車道數(shù)量對特種車通行的影響。 通過與實際的調(diào)查數(shù)據(jù)進(jìn)行對比，驗證了模型的可靠性，也證實了模擬輸出的不同條件下的數(shù)值結(jié)果的可信。本文經(jīng)過多種交通情況下的數(shù)值模擬，分析了特種車在執(zhí)勤通行時對不同密度交通流的影響，對比了不同行駛方式的特種車的影響程度和通行效果，并研究了不同干擾區(qū)域、路段長度、車道數(shù)量等因素對特種車通行情況及整體交通流的影響。最后總結(jié)了在不同條件下特種車的通行影響特性，并為應(yīng)急救援工作和管理控制交通流提出了改善措施和合理化建議。 本文的研究拓寬了元胞自動機的在交通領(lǐng)域的應(yīng)用范圍，為模擬特種車的應(yīng)急救援通行現(xiàn)象提供了一種有效工具，在交通流的理論研究中開辟了新的方向，具有可靠的理論意義和實際意義。
[Abstract]:At present, with the continuous increase of the number of urban motor vehicles in China, the situation of transportation becomes increasingly tense, urban traffic congestion, frequent accidents and other problems have become the main problems that hinder the economic and social progress. In the face of these urban traffic problems, it is very important to complete the corresponding emergency rescue mission, which requires a comprehensive understanding of the traffic flow characteristics of road conditions under various conditions. The research of traffic flow theory involves many fields and methods, such as probability theory in statistics, fluid mechanics and kinematics in physics. There are also car-following models and cellular automata models, among which the Cellular automata model is very suitable for simulating the traffic flow phenomena of microscopic vehicles. In this paper, first of all, the vehicle change rules are added to the classical NS cellular automata model, and the original stochastic slow-down probability is functioned. A two-lane model based on dynamic slowing probability is established. Secondly, the influence of special vehicles and different driving modes are introduced into the model. A two-lane cellular automaton model (D-SDCA model) is established. Finally, the multi-lane model is established based on D-SDCA model, and the influence of the number of lanes on the passage of special vehicles is analyzed. By comparing with the actual investigation data, the reliability of the model is verified, and the reliability of the numerical results under different conditions of simulation output is also confirmed. This paper analyzes the influence of special vehicles on traffic flow of different density while on duty, compares the influence degree and traffic effect of special vehicles with different driving modes, and studies the different interference areas and length of road sections. The influence of the number of lanes and other factors on the traffic situation and the overall traffic flow of special vehicles. Finally, the characteristics of special vehicles under different conditions are summarized. The improvement measures and rational suggestions for emergency rescue and traffic flow control are put forward. The research in this paper broadens the application scope of cellular automata in the field of traffic, provides an effective tool for simulating the emergency rescue traffic phenomenon of special vehicles, and opens up a new direction in the theoretical research of traffic flow. It has reliable theoretical and practical significance.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.112

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王茂芝;郭科;徐文皙;佘春東;汪紅兵;;利用MATLAB和VC++6.0混合編程技術(shù)研究元胞自動機動態(tài)演化過程[J];成都理工大學(xué)學(xué)報(自然科學(xué)版);2006年04期

2 王鵬;楊明;靳禎;;細(xì)胞自動機及MATLAB仿真[J];中北大學(xué)學(xué)報(自然科學(xué)版);2006年05期

3 劉楊;鄭黎黎;常云濤;;城市道路應(yīng)急車輛路段行程時間計算模型[J];交通與計算機;2008年05期

4 楊兆升;高學(xué)英;孫迪;;城市交通疏散救援的元胞自動機模型[J];交通運輸工程學(xué)報;2011年02期

5 朱傳安;潘大夫;;Matlab與C/C++混合編程接口及應(yīng)用[J];微計算機信息;2010年15期

6 花偉,林柏梁;考慮行車狀態(tài)的一維元胞自動機交通流模型[J];物理學(xué)報;2005年06期

7 彭莉娟;康瑞;;考慮駕駛員特性的一維元胞自動機交通流模型[J];物理學(xué)報;2009年02期

8 康瑞;彭莉娟;楊凱;;考慮駕駛方式改變的一維元胞自動機交通流模型[J];物理學(xué)報;2009年07期

9 鄭亮;馬壽峰;賈寧;;基于駕駛員行為的元胞自動機模型研究[J];物理學(xué)報;2010年07期

10 錢勇生;曾俊偉;杜加偉;劉宇斐;王敏;魏軍;;考慮意外事件對交通流影響的元胞自動機交通流模型[J];物理學(xué)報;2011年06期

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