Overview

The integration of Vehicular Ad-hoc Networks (VANETs) with blockchain technology emerges as a transformative approach to enhancing urban mobility, offering new solutions to the challenges of traffic management, vehicle safety, and data security in smart cities. VANETs enable real-time communication between vehicles and infrastructure, creating a dynamic network to optimize traffic flow, reduce congestion, and improve safety by enabling autonomous vehicle interaction and instant data exchange. When combined with blockchain technology, this network gains a layer of decentralization and security, ensuring data shared between vehicles, traffic signals, and other urban systems remains tamper-proof and transparent. Blockchain also facilitates secure and efficient transactions, like toll payments or car-sharing services, and maintains a record of vehicle data, including maintenance history or driving patterns, offering new opportunities for vehicle lifecycle management, insurance claims, and regulatory compliance. Together, VANETs and blockchain could revolutionize urban mobility by creating a more efficient, secure, and sustainable transportation ecosystem, driving the development of smarter, safer cities. Leveraging VANETs and Blockchain Technology for Urban Mobility explores the capabilities of VANET and blockchain technology to create a new intelligent urban transportation architecture. It examines how transportation and infrastructure engineers can create secure, efficient, and safe urban mobility. This book covers topics such as smart cities, sustainability, and waste management, and is a useful resource for civil and mechanical engineers, urban developers, business owners, academicians, researchers, and data scientists.

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Sivaram Ponnusamy is a distinguished academic and researcher with expertise across diverse fields, including computer science, electrical engineering, and business management. With qualifications such as a B.E. in Electrical and Electronics Engineering, an M.E. in Computer Science, a Ph.D., and an MBA in Project Management, he serves as a professor and research supervisor in engineering colleges and universities, specializing in artificial intelligence and computer science. Dr. Ponnusamy has filed multiple patents in cutting-edge technologies, ranging from remote voting systems to AI-based attendance management and environmental analysis tools. His work includes editing several Scopus-indexed books on topics like AI applications, digital twin technology, and women's safety, with ongoing international projects in AI research. As an active member of various professional bodies, including IAENG and ISOC, he also contributes as a reviewer for reputed journals. Recognized for his academic contributions, he was awarded by the Thanjavur District Collector for developing an innovative Android-based meeting management tool. Additionally, Dr. Ponnusamy frequently chairs international conferences and conducts seminars on the latest technological trends, making significant contributions to the fields of AI, machine learning, and software development. He is the research supervisor for several research scholars, and his IGI-Global Profile URL is . Mansour Assaf has joined the University of the South Pacific as Associate Professor in 2010. Prior to that, he was associated with the School of Information and Communications Technology and Engineering, University of Trinidad and Tobago. Before that, he served as a Research Scholar and Lecturer in the School of Information Technology and Engineering of the University of Ottawa, Ottawa, ON, Canada. He received his Ph.D. in electrical engineering from the University of Ottawa where he also received his M.A.Sc. degree in electrical engineering and B.A.Sc. degree in communication engineering. He also holds a B.Sc. degree in Applied Physics from the Lebanese University. His research interests are in the areas of internet of things, mixed-signal analysis, fault-tolerant computing, sensor networks. Dr. Assaf is a Senior Member of the IEEE and a Senior Member of the ACM. He is the co-recipient of the IEEE's Donald G. Fink Prize Paper Award in 2003.

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