Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Watch a 33-minute research presentation exploring innovative approaches to traffic control systems through collective intelligence. Discover how Virginia Tech researcher Montasir Abbas applies musical improvisation concepts to train AI traffic control agents. Learn about the Green Light SONATA (Signal Operation with Neuro-fuzzy Acoustic Tuning Application) system, which uses Markov state estimation and value iteration algorithms to optimize vehicle movements. Understand how this novel approach addresses challenges in traditional traffic controller operations and AI training data limitations, while demonstrating the potential for creating collectively intelligent multi-agent systems for traffic management.