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提出了一种基于三部图的路网节点关键度排序方法,首先从城市出租车轨迹数据中提取出行的起始地-目的地信息以及驾驶员路径选择的统计信息,并以此构建出行网络的三部图模型来刻画出行、路径和路口之间的互影响关系.通过节点之间的连接权重矩阵以迭代的方式计算路口节点的关键度评分.该方法有机地结合了路网的拓扑结构和交通流特征,并兼顾了关键路口节点之间以及路口节点与出行的起始地-目的地分布之间的相关性,可以有效准确地识别整个路网的关键节点.实验验证了方法的有效性.
This paper proposes a method of ranking key nodes of road network nodes based on three-graph. First, the statistical information of departure-destination information and driver’s route selection is extracted from the urban taxi track data to construct the travel network The three-part model is used to characterize the mutual influence between travel, route and intersection.Calculation of the criticality score of intersection node is iteratively calculated by the connection weight matrix between nodes.This method organically combines the topology of the road network And the characteristics of traffic flow, taking into account the correlation between the critical intersection nodes and the intersection node and the starting-destination distribution of travel, the key nodes of the whole road network can be identified accurately and effectively.The experiment validates the effectiveness of the method Sex.