\paper
{AI-Driven Intelligent Traffic Signal Optimization System}
{Budditha Hettige, Saman Perera}
{Budditha Hettige$^{1}$, Saman Perera$^{2}$}
{$^{1}$Faculty of Computing, University of Sri Jayewardenepura, Sri Lanka\\
	$^{2}$Department of Computer Science, University of Colombo, Sri Lanka\\
	Email: budditha@sjp.ac.lk}
{Artificial Intelligence (AI) has become a key driver of innovation in modern technological systems, enabling intelligent decision-making and automation across diverse application domains. This study presents the design and development of an AI-driven intelligent traffic signal optimization system aimed at addressing the growing challenges of urban traffic congestion. With rapid urbanization and increasing vehicle density, traditional fixed-time traffic control systems are no longer efficient, resulting in longer waiting times, increased fuel consumption, and higher environmental pollution.
	
	
	\textbf{Keywords:} Artificial Intelligence, Traffic Optimization, Smart Cities}