Introducing the CCDSReFormer model for accurate and efficient traffic flow prediction.
交通流予測のための物理指導ニューラルネットワークに焦点を当てる。
The author proposes PDFormer, a model that addresses dynamic spatial-temporal dependencies and incorporates time delay in spatial information propagation for accurate traffic flow prediction.