Dr. P. K. S. Bhadauria

Smart Traffic Flow Prediction Using Deep Learning: A Systematic Review of Recent Advances, Challenges, and Future Research Directions

This systematic review critically examines recent advancements in deep learning-based traffic flow prediction models, emphasizing studies published between 2018 and 2026 and indicates that although graph-based and transformer-based architectures currently achieve state-of-the-art predictive performance, integrating explainability, real-time adaptation, and privacy-preserving learning remains a significant research priority.