Proceedings of the AAAI Conference on Artificial Intelligence· 2018
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
- 1,083citations
- 2018year
Short summary
A novel Deep Multi-View Spatial-Temporal Network (DMVST-Net) framework accurately predicts taxi demand by simultaneously modeling temporal, spatial, and semantic correlations, outperforming existing methods on large-scale real-world data.
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