Open access
2026
Enhanced Traffic Prediction Using Spatial–Temporal Graph Neural Networks
A Spatial-Temporal Graph Neural Network framework that can learn a combination of spatial and temporal relationships in road networks and changing time-varying patterns in traffic flow is used, which implies that adaptive spatial learning, together with the temporal sequence modeling, can produce much better forecasting stability.
Akarsh Kumar, Aishwarya Sinha, Yadvendra Pratap Singh
· IEEE Access · 0 citations