This chapter delves into the rapidly evolving concept of digital twins and their transformation from static systems of systems to dynamic ones. It analyzes relevant technologies and trends driving this shift, defines new directions, and explores possible applications. The chapter identifies emerging functionalities of digital twins, highlighting existing conceptual solutions and potential challenges. It then discusses the further evolution and development of fundamental theoretical aspects and frameworks within a digitalized environment. Finally, the chapter presents a roadmap for rail digital twin development, considering potential directions and comparing them to state-of-the-art advancements in other industries.

Future of Digital Twins in the Rail Industry

Stefano Bruni;
2025-01-01

Abstract

This chapter delves into the rapidly evolving concept of digital twins and their transformation from static systems of systems to dynamic ones. It analyzes relevant technologies and trends driving this shift, defines new directions, and explores possible applications. The chapter identifies emerging functionalities of digital twins, highlighting existing conceptual solutions and potential challenges. It then discusses the further evolution and development of fundamental theoretical aspects and frameworks within a digitalized environment. Finally, the chapter presents a roadmap for rail digital twin development, considering potential directions and comparing them to state-of-the-art advancements in other industries.
2025
Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications
9781032776026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1293774
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