VIPTRA: Visualization and Interactive Processing on Big Trajectory Data

作者: Xin Ding , Rui Chen , Lu Chen , Yunjun Gao , Christian S. Jensen

DOI: 10.1109/MDM.2018.00055

关键词:

摘要: Massive trajectory data is being collected and used widely in many applications such as transportation, location-based services, urban computing. As a result, abundant methods systems have been proposed for managing processing data. However, it remains difficult users to interact well with management processing, due the lack of efficient effective visualization techniques big In this demonstration, we present new framework, VIPTRA, process visually interactively. VIPTRA builds upon UlTraMan, distributed in-memory system data, thus, takes advantage its capability high performance. The demonstration shows efficiency user-friendly interaction provided via several scenarios visual analysis editing tasks.

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