Cyber-physical and business perspectives using Federated Digital Twins in multinational and multimodal transportation systems

Abstract

Digital Twin (DT) technologies promise to remove cyber-physical barriers in systems and services and provide seamless management of distributed resources effectively. Ideally, full-fledged instantiations of DT offer bi-directional features for physical-virtual representations, tackling data governance, risk assessment, security and privacy protections, resilience, and performance, to name a few characteristics. More broadly, Federated Digital Twins (FDT) are distributed physical-virtual counterparts that collaborate for enacting synchronisation and accurate mapping of multiple DT instances. In this work we focus on understanding and conceptualising the cyber-physical and business perspectives using FDT in multinational and multimodal transportation systems. These settings enforce a plethora of regulations, compliance, standards in the physical counterpart that must be carefully considered in the virtual mirroring. Our aim is to discuss the regulatory and technical underpinnings and, consequently, the existing operational and budgetary overheads to factor in when designing or operating FDT.

Publication DOI: https://doi.org/10.48550/arXiv.2410.08479
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Software Engineering & Cybersecurity
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
College of Engineering & Physical Sciences
College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > School of Social Sciences & Humanities > Centre for Health and Society
College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences
College of Engineering & Physical Sciences > Aston Digital Futures Institute
Aston University (General)
Additional Information: This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/).
Last Modified: 04 Nov 2024 09:37
Date Deposited: 24 Oct 2024 16:02
Full Text Link:
Related URLs: https://arxiv.o ... /abs/2410.08479 (Publisher URL)
PURE Output Type: ["eprint_fieldname_pure_output_type_workingpaper/preprint" not defined]
Published Date: 2024-10-11
Authors: M. Czekster, Ricardo (ORCID Profile 0000-0002-6636-4398)
Garcia Perez, Alexeis (ORCID Profile 0000-0003-0718-5645)
Kavakli-Thorne, Manolya (ORCID Profile 0000-0003-3241-6839)
Allah El Mesloul Nasri, Seif
Shaikh, Siraj

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