Mathematical Modeling and Computational Simulation of Traffic Flows Using Real Data for Developing Decision Support Tools.• Optimized parameter estimation by implementing deep learning techniques based on article findings, achieving a 95% reduction in prediction time—from hours to seconds—and improved performance on test data.• Calibrated parameters for agent-based models (ABM) to enhance data prediction accuracy.• Trained and optimized neural networks for improved performance in traffic flow simulations.