Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction

Wei Zeng, Chengqiao Lin, Kang Liu +2

Deep neural networks are being increasingly used for short-term traffic flow prediction, which can be generally categorized as convolutional (CNNs) or graph neural networks (GNNs).…