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Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
Obtaining accurate information about future traffic flows of all links i...
04/06/2020 ∙ by Xinglei Wang, et al. ∙
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A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network
Traffic forecasting is crucial for urban traffic management and guidance...
04/14/2019 ∙ by Na Zhang, et al. ∙
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