A Study on Urban Traffic Speed Prediction Using Spatiotemporal Attention-Based Convolutional Neural Networks
Urban traffic speed prediction requires effective modeling of road-network spatial dependencies and temporal dynamics. This study develops an attention-based spatiotemporal graph convolutional framework (AT-GCN-GRU) for multi-horizon traffic speed prediction. The model combines graph convolution for spatial feature ext...