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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.
This is a digital product.
Leveraging VANETs and Blockchain Technology for Urban Mobility is written by IGI Global and published by Engineering Science Reference. The Digital and eTextbook ISBNs for Leveraging VANETs and Blockchain Technology for Urban Mobility are 9798337302683, and the print ISBNs are 9798337302652, . Additional ISBNs for this eTextbook include 9798337302676.

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