Quantum AI for Smart Cities: Optimizing Traffic and Urban Sustainability
Murali Krishna Pasupuleti · 2025
Abstract: As urban populations grow and cities face increasing challenges in traffic congestion, energy management, and environmental sustainability, Quantum Artificial Intelligence (Quantum AI) is emerging as a transformative technology to optimize urban systems. This book, "Quantum AI for Smart Cities: Optimizing Traffic and Urban Sustainability," explores how the convergence of quantum computing and AI- driven analytics can revolutionize traffic flow management, smart grids, and sustainable urban planning. It delves into quantum-enhanced predictive modeling, real-time optimization algorithms, and autonomous mobility solutions, enabling cities to reduce congestion, lower emissions, and improve resource allocation. The book also examines Quantum AI’s role in energy-efficient infrastructure, climate adaptation strategies, and smart governance models, demonstrating its potential to create data- driven, intelligent, and eco-friendly urban environments. Additionally, it addresses ethical, security, and regulatory considerations, providing insights into quantum cybersecurity, AI governance frameworks, and policy recommendations for responsible adoption. Designed for urban planners, AI researchers, policymakers, and technology leaders, this book serves as a comprehensive guide to leveraging Quantum AI for the next-generation evolution of smart, sustainable, and efficient cities. Keywords: Quantum AI, smart cities, traffic optimization, urban sustainability, quantum computing, artificial intelligence, machine learning, predictive analytics, smart mobility, autonomous vehicles, intelligent transportation, energy management, smart grids, renewable energy, climate adaptation, IoT, big data analytics, sustainable urban planning, ethical AI, AI governance, cybersecurity, quantum encryption, urban infrastructure, smart governance, environmental sustainability, digital transformation.