关键词: 出租车GPS轨迹数据, 出租车乘客出行特征, 可视化分析, 多视图协同交互

Abstract: Visual analysis technology plays an increasingly important role in the analysis of traffic data, discovery of traffic problems and auxiliary decision-making through graphical and interactive forms of data. In order to show the information obtained from the GPS trajectory data clearly and intuitively, this paper presents an integrated clustering visualization and feature visualization method for the taxi GPS trajectory, aiming to solve the hard problem arising from the large data volume and complex spatial-temporal information. Firstly, the feature data used for visualization is extracted by data processing, then the visualization of the passenger pick-up point is carried out, and the trajectory data is visualized by the method of multi-view collaborative interaction. Finally, according to the visualization results, temporal and spatial distribution of the travel characteristics are analyzed. On this basis, an interactive visual analysis system is designed and the validity of the system is proved through case studies of real data sets.

Key words: taxi GPS trajectory data, taxi passenger travel characteristics, visualization analysis, multi-view collaborative interaction