基于复杂网络理论的城市道路交通网络演化规律研究

发布时间：2018-05-31 03:42

本文选题：城市道路交通网络 + 复杂网络理论　；参考：《西南交通大学》2014年硕士论文

【摘要】：城市道路交通网络是城市发展和建设的基础设施,它是由道路系统、社交系统和流量系统组成的典型复杂网络。运用复杂网络理论的方法去研究城市道路交通网络的拓扑特征,分析道路网络上的交通动力学行为,揭示城市道路交通网络的发展演化规律,有利于我们从根本上去理解城市道路交通体系的运行机制,去发现城市交通问题发生的根本原因,为城市交通规划和交通设计提供科学决策方法。本文运用复杂网络理论,结合交通工程学、计算机仿真等相关科学和技术分析了城市道路交通网络的拓扑特性,建立了相应的网络演化模型,试图发掘和理解城市道路交通网络的发展演化规律。通过借鉴成都市城市道路交通网络的演化特性,本文分别建立了“棋盘”状城市道路交通网络演化模型、“棋盘+放射线”状城市道路交通网络演化模型、“棋盘+放射线+环线”状城市道路交通网络演化模型。通过计算机模拟发现,在“棋盘”网络演化模型中,平均路径长度随着演化时间成线性增长,每单位时间步增长1.3个单位长度,网络平均度也呈递增趋势。网络聚类系数一直保持为O。在“棋盘+放射线”网络演化模型中,放射线的加入使得网络平均度逐渐下降到一定水平,节点度分布并没有明显的分布特性。在“棋盘+放射线+环线”网络演化模型中,环线的加入使得网络的聚类系数快速增长,同时网络中会出现部分节点度较高的节点,本文认为环路上介数值较高的节点受其他邻近节点连接的概率更高,在节点能力难以满足交通需求时,为保护这些介数值较高的节点,在该节点处修建立交而造成节点度值较高。
[Abstract]:Urban road traffic network is the infrastructure of urban development and construction. It is a typical complex network composed of road system, social system and flow system. Using the method of complex network theory to study the topological characteristics of urban road traffic network, analyze the traffic dynamic behavior on the road network, and reveal the urban road traffic network. The law of development and evolution is helpful for us to understand the operation mechanism of urban road traffic system fundamentally, to find the fundamental cause of urban traffic problems, and to provide scientific decision-making methods for urban traffic planning and traffic design.
In this paper, the topological characteristics of urban road traffic network are analyzed by using complex network theory, combined with traffic engineering, computer simulation and other related science and technology, and a corresponding network evolution model is established to try to discover and understand the evolution and evolution of urban road traffic network.
By drawing on the evolution characteristics of urban road traffic network in Chengdu, the evolution model of "chessboard" city road traffic network, "chessboard + radioactive ray" urban road traffic network evolution model, "chessboard + radiation + ring line" urban road traffic network evolution model, are established in this paper.
Through computer simulation, it is found that in the "chessboard" network evolution model, the average path length increases linearly with the evolution time, increasing 1.3 unit length per unit time and increasing the network average degree. The network clustering coefficient has been kept as O..
In the network evolution model of "chessboard + radiation" network, the addition of radiation makes the average degree of network decrease to a certain level, and the distribution of node degree has no obvious distribution characteristics.
In the network evolution model of "chessboard + radiation + ring line" network, the connection of the loop line makes the clustering coefficient of the network increase rapidly, and there will be some nodes with high node degree in the network. This paper thinks that the nodes with higher values on the loop are more likely to be connected by other adjacent nodes, and when the node capacity is difficult to meet the traffic demand, it is difficult to meet the traffic demand. In order to protect the nodes with high intermediate values, the grade separation is built at the node, resulting in higher node value.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.13

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