复杂动态路网模型与交通疏导策略研究
发布时间：2019-06-22 12:08
【摘要】：城市交通网络是我们赖以生存的物质条件,承载着人类活动的基本要素,同时也是一个地区经济文化发展的助推力量,影响着城市的经济建设脚步和运行效率。其本身就是一个复杂的巨系统,主要包括道路子系统,管理子系统,流量子系统,各个子系统之间相互影响,功能集聚,使得它的运行规律也相对复杂。因此我们在城市交通网络的研究过程中,不能割裂开来,而是要以一个整体全局的观点去深入研究,更好地理解城市交通网络内在的运行机理和规律。本文我们结合交通路网模型知识,元胞自动机理论以及自适应局部路由策略来综合考量城市交通路网,分别从宏观和微观两方面入手,针对实际交通网络中车辆拥塞的疏导提出切实可行的路由策略,通过局部信息的控制以及优化达到提高整个网络容量的目的,为人们出行提供更加便捷的交通环境。以下为本文研究的具体内容:(1)从宏观的角度出发,建立城市复杂动态路网模型。综合考虑了路周信息如商业圈,学校,企业所在地等影响因素和动态时变因素对整个交通网络的影响,包括人流量和车流量以及不确定的天气情况信息。确定这局部因素对整个网络拥塞所带来的负面影响。(2)从微观的角度出发,基于驾驶员流动性偏好的元胞自动机理论,建立交通流模型。主要考虑驾驶员的个性特点而产生的驾驶员之间的异步行为对整个交通网络的影响。(3)交通疏导策略研究。结合模拟的交通数据如:车辆个数,路段畅通情况,预测信息等海量信息数据,运用自适应局部动态诱导的方法,结合网络中动态信息的变化,如拓扑结构的变化或是车辆等待排队时间等因素,局部搜索适应度高的邻居节点,通过引入可调节参数?的不同取值,来给定车辆传输的实际路径,直至车辆到达目标节点并从网络中消失。
[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.
【学位授予单位】：沈阳大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491
本文编号：2504566
[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.
【学位授予单位】：沈阳大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491
【参考文献】
相关期刊论文 前2条
1 郝媛;孙立军;徐天东;杜豫川;;城市快速路交通拥挤分析及拥挤阈值的确定[J];同济大学学报(自然科学版);2008年05期
2 高自友;赵小梅;黄海军;毛保华;;复杂网络理论与城市交通系统复杂性问题的相关研究[J];交通运输系统工程与信息;2006年03期
相关硕士学位论文 前1条
1 莫孝源;城市交通网络的控制与仿真研究[D];上海交通大学;2010年
，本文编号：2504566
本文链接：https://www.wllwen.com/kejilunwen/daoluqiaoliang/2504566.html
