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Dr. C. Vennila is an Associate Professor in the Department of Electrical and Electronics Engineering at Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, Tamil Nadu, India. Her research interests include Smart Energy Systems, Embedded Systems, Artificial Intelligence, IoT, and Intelligent Engineering Applications.
The swift increase in urban populations and automobile ownership has exacerbated parking-related issues, such as traffic congestion, fuel inefficiency, environmental degradation, and suboptimal use of parking facilities. Artificial Intelligence (AI) has emerged as a transformative technology for the development of intelligent parking management systems that provide real-time monitoring, predictive analytics, automated space allocation, and dynamic decision-making. AI-driven intelligent parking systems amalgamate machine learning, computer vision, Internet of Things (IoT) sensors, cloud computing, and mobile applications to optimise parking operations and improve customer convenience. This chapter examines the design, technology, techniques, and applications of AI-driven parking solutions, emphasising their contribution to enhancing urban mobility, alleviating congestion, and facilitating smart city efforts. The chapter addresses implementation obstacles, security issues, and prospective research avenues for sustainable and intelligent parking ecosystems.