Intelligent Urban Infrastructure

Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities explores how emerging digital technologies are reshaping the design, management, and sustainability of modern cities. This comprehensive volume examines the integration of Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and intelligent automation into critical urban systems such as transportation, energy, water management, healthcare, and public safety. It presents a forward-looking perspective on how infrastructure can evolve to become more adaptive, resilient, and environmentally responsible. The book highlights practical frameworks and technology-driven content that demonstrate measurable improvements in efficiency, cost optimization, and environmental performance. Designed for researchers, postgraduate students, urban planners, engineers, policymakers, and industry professionals, this book serves as a valuable reference for those seeking to understand and implement intelligent infrastructure solutions that enable smarter, greener, and more liveable cities worldwide.

Anurag Goswami is a Professor at School of CSET at Bennett University, India. With a strong background in Computer Science Engineering and Technology, his research focuses on Empirical Software Engineering, Software Reliability, and Software Quality Improvement. His multidisciplinary approach during his Ph.D. incorporates insights from Cognitive Psychology, Behavioral Science, and biology to address critical issues in Software Engineering. Notably, his work has improved software inspection performance through innovative techniques like eye-tracking and cognitive psychology. Vaibhav Anu is an Associate Professor of Computer Science at Montclair State University. He joined Montclair State in Fall 2018. Before joining Montclair State, he received a PhD in Software Engineering from North Dakota State University. Dr. Anu is interested in software development planning, analysis, and management, and particularly in improving software quality by improving the processes and practices involved in software development. The primary focus of Dr. Anu's research is on development and empirical validation of effective methods for verification and validation of software artifacts.Shubhangi Suryawanshi is an accomplished academician and researcher with over 15 years of experience in teaching, research, and academic leadership. She holds a Ph.D. in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning from Bennett University, Greater Noida, and a Master’s degree in Computer Engineering from Savitribai Phule Pune University, Pune. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Online and Incremental Learning, Concept Drift Adaptation, Time Series Analysis, Natural Language Processing, and AI applications in advanced manufacturing and material informatics. Digvijay Bhosale is an accomplished academic and chartered professional with over 15 years of experience in research, industry, and teaching. He holds a Ph.D. in Mechanical Engineering (Machine Learning and Surface Engineering) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India and a Master of Technology (M.Tech.) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India. His research interests span surface engineering, machine learning, tribology, and material processing. Dr. Digvijay has secured funding from multiple organizations to support his research initiatives.