A Comparative Survey of Smart City Traffic Management Solutions: Taxonomy, Tools, and Emerging Trends

Abstract

Artificial intelligence (AI) has become a critical component of modern urban environments, driving the development of smart cities that promise enhanced efficiency, sustainability, and improved quality of life. Despite these advancements, traffic congestion remains a significant challenge in urban mobility. Addressing this challenge requires further investigation to develop innovative and effective solutions. This paper reviews recent research on traffic management in smart cities, providing a comprehensive analysis of current strategies. It emphasizes the need for adaptive, integrated approaches to traffic control in the context of rapidly evolving urban systems.