Abstract
This study explores the application of artificial intelligence (AI) to optimize traffic light control at intersections, addressing pressing traffic management challenges. The study aims to mitigate traffic congestion, minimize adverse impacts associated with delays, alleviate the workload and physical demands on traffic police, and demonstrate the practical integration of AI into everyday urban systems. By leveraging advanced AI techniques, this study seeks to contribute to smarter, more efficient, and sustainable traffic management solutions.
