Vaite: A Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System
2019 IEEE 35th International Conference on Data Engineering (ICDE)(2019)
摘要
Big urban trajectory exploration extracts insights from trajectories. It has many smart-city applications, e.g., traffic jam detection, taxi movement pattern analysis. The challenges of big urban trajectory data exploration are: (i) the data analysts probably do not have experience or knowledge on issuing their analysis tasks by SQL-like queries or analysis operations accurately; and (ii) big urban trajectory data is naturally complex, e.g., unpredictability, interrelation, etc. In this work, we architect and implement a visualization-assisted big urban trajectory data exploration system (Vaiet) to address these chanllenges. Vaiet includes three layers, from data collection to results visualization. We devise novel visualization views in Vaiet to support interactive big urban trajectory exploratory analysis. We demonstrate the effectiveness of Vaiet by the real world applications.
更多查看译文
关键词
Trajectory,Data visualization,Public transportation,Roads,Analytical models,Vehicles,Task analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络