Blockchain-enabled Digital Twin Technology for Next-Generation Transportation Systems

Sourav Banerjee, Debashis Das, Pushpita Chatterjee, Uttam Ghosh
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Abstract

A digital twin (DT) is a virtual replica of a physical system that allows simulation, optimization, and predictive maintenance. Its challenges include the need for accurate and up-to-date data as well as the complexity of integrating different systems and technologies. This paper explores the potential of combining digital twin and blockchain technologies to create next-generation transportation systems that are more efficient, secure, and sustainable. DTs can be used to simulate and optimize transportation operations and maintenance, while blockchain can enhance security and transparency in data exchange and transaction verification. By integrating these technologies, transportation systems can become more resilient, adaptable, and responsive to changing demands and challenges. This paper provides an overview of the key concepts and applications of DTs and blockchain in transportation, including use cases such as autonomous vehicles, smart logistics, and mobility as a service. It also discusses the technical and organizational challenges of implementing these technologies and suggests potential solutions and research directions. Specifically, this paper argues that DT and blockchain technologies have the potential to transform transportation systems into more efficient, sustainable, and equitable systems that can meet the needs of present and future generations.
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基于区块链的下一代交通系统数字孪生技术
数字孪生(DT)是物理系统的虚拟副本,可以进行仿真、优化和预测性维护。它的挑战包括需要准确和最新的数据,以及集成不同系统和技术的复杂性。本文探讨了数字孪生和区块链技术相结合的潜力,以创建更高效、安全和可持续的下一代交通系统。DTs可用于模拟和优化运输运营和维护,而区块链可以增强数据交换和交易验证的安全性和透明度。通过整合这些技术,交通系统可以变得更有弹性、适应性,并对不断变化的需求和挑战做出反应。本文概述了dt和区块链在交通运输中的关键概念和应用,包括自动驾驶汽车、智能物流和移动即服务等用例。它还讨论了实现这些技术的技术和组织挑战,并提出了潜在的解决方案和研究方向。具体来说,本文认为DT和区块链技术有潜力将交通系统转变为更高效、可持续和公平的系统,以满足当代和后代的需求。
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