Online-Offline Interactive Urban Crowd Flow Prediction Toward IoT-Based Smart City

Urban crowd flow prediction is very challenging for public management and planning in smart city applications. IoT based technologies make urban-scale flow detection and prediction possible. Existing work mostly focuses on spatial and temporal dependence based flow prediction by learning patterns fr...

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Veröffentlicht in:	IEEE transactions on services computing 2022-11, Vol.15 (6), p.3417-3428
Hauptverfasser:	Zeng, Yuanyuan, Zhou, Shujie, Xiang, Kai
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Behavioral sciences Crowd flow prediction IoT-based smart city Mobile handsets Neural networks online-offline interaction Performance evaluation Reflection Smart cities Time series Time series analysis
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