Blockchain-Based Framework for Traffic Event Verification in Smart Vehicles
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http://hdl.handle.net/10045/139763
Título: | Blockchain-Based Framework for Traffic Event Verification in Smart Vehicles |
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Autor/es: | Pujol, Francisco A. | Mora, Higinio | Ramírez, Tamai | Rocamora, Carlos | Bedón, Arturo |
Grupo/s de investigación o GITE: | UniCAD: Grupo de investigación en CAD/CAM/CAE de la Universidad de Alicante | Arquitecturas Inteligentes Aplicadas (AIA) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Blockchain | Hyperledger Besu | IBFT 2.0 | Security | Smart Contracts | Smart Vehicles |
Fecha de publicación: | 11-ene-2024 |
Editor: | IEEE |
Cita bibliográfica: | IEEE Access. 2024, 12: 9251-9266. https://doi.org/10.1109/ACCESS.2024.3352738 |
Resumen: | The development of smart vehicles has been a major focus of the automotive industry in recent years. Smart vehicles, equipped with advanced sensors and communication technologies, represent a transformative paradigm in modern transportation systems. Some of the challenges associated with the introduction of smart vehicles include developing reliable sensors, creating robust communication networks, and ensuring the security of vehicle systems. This paper proposes a Blockchain-based framework for accident prevention on the Internet of Vehicles, where vehicles monitor the state of the route and transmit information about hazardous situations to the Blockchain network. Once the event is confirmed, warnings are sent to all vehicles, and their speed is automatically reduced to avoid accidents. The tests in a 3D graphical simulator, combined with Hyperledger Besu technology for the creation of the Blockchain network, demonstrated both horizontal and vertical scalability, validating the potential of this framework for real-world integration. Moreover, it presents a fast reaction to anomalous situations on a route compared to human reactions under similar circumstances. |
Patrocinador/es: | This work was supported by the Spanish Research Agency (AEI) (DOI: 10.13039/501100011033) under project HPC4Industry PID2020-120213RB-I00. |
URI: | http://hdl.handle.net/10045/139763 |
ISSN: | 2169-3536 |
DOI: | 10.1109/ACCESS.2024.3352738 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1109/ACCESS.2024.3352738 |
Aparece en las colecciones: | INV - AIA - Artículos de Revistas INV - UNICAD - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Pujol_2024_IEEEAccess.pdf | 2,32 MB | Adobe PDF | Abrir Vista previa | |
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