Smart City Gnosys
Smart city article details
| Title | Vaite: A Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System |
|---|---|
| ID_Doc | 60788 |
| Authors | Yang C.; Zhang Y.; Tang B.; Zhu M. |
| Year | 2019 |
| Published | Proceedings - International Conference on Data Engineering, 2019-April |
| DOI | http://dx.doi.org/10.1109/ICDE.2019.00233 |
| Abstract | 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. © 2019 IEEE. |
| Author Keywords | Data visualization; Trajectory data exploration |
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