SYTRAC: An Edge AI-Based Intelligent Traffic Signal Control System Using OPC UA and Deep Learning for Smart City Applications
This paper proposes and validates SYTRAC (System for Adaptive Traffic Control), a low-cost, safety-critical Adaptive Traffic Signal Control system designed for resource-constrained urban environments and establishes a formal mathematical queue-stability guarantee using a closed-form Foster–Lyapunov drift argument.