SemanticTraj : A New Approach to Interacting with Massive Taxi Trajectories

Massive taxi trajectory data is exploited for knowledge discovery in transportation and urban planning. Existing tools typically require users to select and brush geospatial regions on a map when retrieving and exploring taxi trajectories and passenger trips. To answer seemingly simple questions suc...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 23(2017), 1 vom: 11. Jan., Seite 11-20
1. Verfasser: Al-Dohuki, Shamal (VerfasserIn)
Weitere Verfasser: Wu, Yingyu, Kamw, Farah, Yang, Jing, Li, Xin, Zhao, Ye, Ye, Xinyue, Chen, Wei, Ma, Chao, Wang, Fei
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.