An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting

Aoyu Liu, Yaying Zhang

Abstract: Highlights•An efficient Transformer is proposed for various traffic forecasting tasks.•A spatial-temporal memory is proposed to cache and query evolving traffic patterns.•Our model significantly reduces the computational cost of spatial-temporal modeling.