Smart City Gnosys
Smart city article details
| Title | Digital Twin Consensus For Blockchain-Enabled Intelligent Transportation Systems In Smart Cities |
|---|---|
| ID_Doc | 20181 |
| Authors | Savaridassan P.; Sahasra K.; Kalaiselvi B.; Nagoormeeran A.R.; Krishnaraj N. |
| Year | 2025 |
| Published | Digital Twin and Blockchain for Smart Cities |
| DOI | http://dx.doi.org/10.1002/9781394303564.ch14 |
| Abstract | The rise of smart cities has accelerated the adoption of cutting-edge technologies to improve urban infrastructure, with an emphasis on transportation systems in particular. In this context, the potential to transform Intelligent Transportation Systems (ITS) through the integration of blockchain and digital twin (DT) technologies has drawn attention. Digital twins are virtualized versions of physical assets or systems that allow for real-time optimization, analysis, and monitoring. Blockchain technology, known for its decentralized and immutable ledger system, offers promising solutions for enhancing transparency, security, and efficiency in transportation systems. The chapter examines the importance of achieving consensus mechanisms for digital twins in transportation within smart cities, addressing challenges, solutions, case studies, and future research opportunities. Key topics include the definition and concept of digital twins, the role of ITS in optimizing traffic flow, the integration of digital twins with ITS, an overview of blockchain technology, traditional and blockchain-enabled consensus mechanisms, implementation challenges and solutions, real-world case studies, and future directions. Through a comprehensive analysis, this chapter sheds light on the potential impact of blockchain-enabled solutions in revolutionizing transportation systems and advancing smart city initiatives. © 2024 Scrivener Publishing LLC. |
| Author Keywords | blockchain technology; consensus mechanisms; Digital twins; intelligent transportation systems (ITS); mobility services; smart cities; supply chain management; vehicle tracking |
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