SASTFormer: a traffic flow prediction method based on spatial-temporal multi-head self-attention mechanism fusion
SASTFormer is a method for traffic flow prediction that relies on fusing spatiotemporal multi-head self-attention to enhance long-term prediction and outperforms eight baseline models in overall performance and medium-/long-term prediction on PeMS08, but also delivers more stable predictive accuracy.