Journal of Artificial Intelligence, Machine Learning and Soft Computing

ABSTRACT

The rapid urbanization across the globe has intensified challenges related to infrastructure, traffic management, energy consumption, and public safety. Artificial Intelligence (AI) has emerged as a transformative tool for designing and managing smart cities and urban systems, enabling real-time decision-making, predictive analytics, and enhanced resource allocation. This paper presents a comprehensive review of AI applications in smart cities, covering traffic and transportation systems, energy management, public safety, environmental monitoring, and citizen-centric services. Furthermore, we explore key AI techniques employed in urban systems, including machine learning, deep learning, and reinforcement learning. The paper also discusses challenges, such as data privacy, interoperability, and scalability, and outlines future research directions for AI-enabled urban development.

KEYWORDS: Smart cities, Artificial Intelligence, Urban systems, Machine learning, Deep learning, IoT, Traffic management, Energy optimization