Spatiotemporal information enhanced multi-feature short-term traffic flow prediction.
Accurately predicting traffic flow is crucial Hub Bearing for optimizing traffic conditions, reducing congestion, and improving travel efficiency.To explore spatiotemporal characteristics of traffic flow in depth, this study proposes the MFSTBiSGAT model.The MFSTBiSGAT model leverages graph attention networks to extract dynamic spatial features fro