A new model called the Global-Local Graph Attention Network (GLGAT) has been developed to improve traffic forecasting by effectively capturing spatio-temporal correlations. This model outperforms traditional methods and other state-of-the-art models, indicating a significant advancement in intelligent transportation systems.