The transformative potential of artificial intelligence (AI) is creating more efficient, connected, and sustainable urban environments in smart cities. By enabling seamless data mobility across diverse systems, AI facilitates real-time decision-making and predictive modeling that enhance city planning and governance. Intelligent data modeling empowers city leaders to anticipate challenges and improve citizens' quality of life through smarter infrastructure. This integration of AI and data-driven insights forms the backbone where technology and human-centered design converge to build resilient and adaptive urban ecosystems. AI-Based Data Mobility and Intelligent Modeling for Smart Cities explores how AI creates efficiency and improves smart cities. This book reviews the role of AI, machine learning, and deep reinforcement learning in the evolution of smart cities. Covering topics such as AI, intelligent modeling, and mobility, this book is an excellent resource for academic scientists, researchers, and research scholars.