Deep Reinforcement Learning for Hybrid Traffic Control: Coordinating AI and Fixed-Time Signal Controllers in Urban Networks

Abstract

AbstractRecently, adaptive intersection signal control methods based on artificial intelligence (AI) have garnered substantial research interest. As these studies progress, the practical feasibility of AI-driven intersection control has been increasingly ...Practical ApplicationsThis study introduces a new approach to managing traffic signals in urban areas, particularly where traditional and advanced AI-based systems coexist. With cities increasingly adopting AI technologies for traffic control, ...