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Automatic Detection Method for Dynamic Topology Structure of Urban Traffic Network

机译:城市交通网络动态拓扑结构的自动检测方法

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In order to further explore and discover the inner structure features of complex urban traffic network, based on urban road network geography model and the mass of dynamic traffic trajectory data resources, proposed a kind of dynamic topology structure automatic discovery method of urban traffic network. Firstly based on urban geographical model, and construct the graph model of urban road network, that is taking road intersection as a node, and regard connected path between nodes as links, establish graph model of node link to represent the topological structure of urban road network, further based on the running road speed information of collected road of floating car data collection added weight for the link, and build the weighted directed graph topology of urban traffic network. Taking Nanning city as an example, the experimental results show that this method can find its intrinsic topology characteristics and realize the dynamic updating of urban road network topology.
机译:为了进一步探索和发现复杂城市交通网络的内部结构特征,基于城市道路网络地理模型和动态交通轨迹数据资源的质量,提出了一种动态拓扑结构的城市交通网络自动发现方法。首先基于城市地理模型,建设城市道路网络的图形模型,将道路交叉作为节点,并将节点之间的连接路径视为链路,建立节点链路的图形模型代表城市道路网的拓扑结构此外,还基于浮动汽车数据收集的收集道路的运行道路速度信息,增加了链路的重量,并构建了城市交通网络的加权指向图拓扑。以南宁市为例,实验结果表明,该方法可以找到其内在拓扑特性,实现城市道路网拓扑的动态更新。

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