基于图结构的城市出租车交通流量可视化

Visualization of urban taxi traffic flow based on graph structure

为了更好地分析出租车在城市区域中的运行规律,提出一种基于图结构的城市交通流量可视化分析方法。通过对路网进行聚类,将路网连接路段划分为区域结构,并用点-线连接形式表示城市路网,同时以区域车流量为权重,结合图中心性概念对区域重要性进行了分析。以北京市四环为例,对一亿多条出租车GPS数据进行可视化分析,实验结果表明,该方法可以直观有效地展现不同区域的出租车流量随时间变化规律和不同区域的重要程度。

With the development of information technology,massive traffic data is exploited for traffic behavior analysis.In particular,taxi trajectory data plays an important role in traffic analysis.In order to better explore the traffic law of taxis in urban traffic operation,a graph based visual method is applied to the analysis of urban traffic flow in this paper.First,the road-level graph is converted into a region-level graph through clustering all road segments,then the node-line connection between regions presents the urban road network structure.Meanwhile,taking the regional traffic as the weight,the importance of the regions is analyzed by combining graph centrality.Finally,this approach is implemented and evaluated by using more than 100 million taxi trajectories data within the fourth ring of Beijing.The experiment results indicate that the proposed method can intuitively show the variation of taxi flow in different regions over time and reveal effectively the importance of different regions.