… , we propose a novel traffic prediction model named Multi-Stage Attention Spatial–Temporal …
three attention mechanisms, internal attention, spatial attention and temporal attention, …

… -temporal information of the traffic network, we propose a multi-stage hybrid spatio-temporal …
For each head attention, we determine the importance of the spatio-temporal representation …

… 7, the red histogram represents our first variant model, which has only a multi-stage attention
mechanism and a temporal attention mechanism. On the Nasdaq 100 dataset, the test …

… attention method for multi-step traffic flow prediction. Specifically, we present a two-branch
framework to predict … , and further design a local flow attention (LFA) mechanism to explicitly …

… To the best of our knowledge, this is the first study on traffic prediction based on multi-scale
attention with dilated convolution, which captures the dynamic features from different scales …

… on the interactive attention mechanism is used for traffic flow prediction. It uses the attention
… an appropriate fusion mechanism to make the model prediction more accurate. In New York …

… a novel multi-stage feature fusion framework to make precise and accurate traffic predictions
… Furthermore, temporal attention is in the decoder to learn different historical moments in the …

… system, including traffic congestion, price … of predicting travel demand that has received a
lot of attention during the last few years. Our framework enables multi-step ahead predictions …

… safety prediction model based on traffic accidents. Patient safety is analyzed by traffic … In
order to improve design and patient safety prediction, the self-attention unit was developed into …

… attention block are constructed with attention mechanisms and employed. Furthermore, we
construct the multi-stage … models originally proposed for road traffic forecasting are directly be …