With contributions from experts from around the world, this handbook aims to systemize the existing experience and knowledge that can be used to the development of more efficient and controlled railway systems. As a result, this handbook showcases the modern methods, methodologies and frameworks for the development of DT and AI architectures and apparatus in the area of the existing railway systems and transport engineering tasks. The chapters cover such varied and specialized topics as the processes related to the transformation of a physical twin into a digital twin; the application of data-driven and physics-based simulation approaches in the development of digital twins; asset management application tasks with the implementation of DT and AI; and the experimental and field applications of the DT and AI concepts and technologies in railway transport system design and predictive maintenance tasks.
Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications is essential reading for engineers, practitioners and researchers involved in the development of railway transport and transit systems.
Chapter 1 Introduction to Digital Twins and Artificial Intelligence
Maksym Spiryagin, Stefano Bruni, and Colin Cole
Chapter 2 Architecture Concepts of Digital Twins
Florian Klinger and Johannes Edelmann
Chapter 3 Data Collection and Management for Digital Twins
Giovanni Lugaresi, Lulai Zhu, and Andrea Matta
Chapter 4 Digital Twin Modeling and Simulation
Maksym Spiryagin, Yan Quan Sun, Thomas Mond, Chris Bosomworth, and Leron Postelnik
Chapter 5 Development of Data‑Driven Digital Twins
Jacek Mocki, George Stojkovski, and Jake Pisano
Chapter 6 Development of Physics‑Based Digital Twin
Sanjar Ahmad and Farzaneh Tahmoorian
Chapter 7 Development of Human–Digital Twin Interaction
Anjum Naweed
Chapter 8 Digital Twins for Rail Vehicle Designs
Nicola Bosso, Matteo Magelli, and Nicolò Zampieri
Chapter 9 Digital Twins for Railway Infrastructure Asset Management and Maintenance
Marco Macchi, Adalberto Polenghi, and Irene Roda
Chapter 10 Digital Twins for Train Operation Optimizations
Colin Cole
Chapter 11 Digital Twins for Train Operational Safety and Reliability
Qing Wu, Xiaohua Ge, Shengyang Zhu, and Shuai Su
Chapter 12 Digital Twins for Rail Network Infrastructure
Farzaneh Tahmoorian, Travis March, and Maksym Spiryagin
Chapter 13 AI in Digital Twins for Rail Operations
Francesco Flammini, Elena Napoletano, and Stefano Ricci
Chapter 14 AI for Rolling Stock
Sebastian Stichel, Wolfgang Birk, Carlos Casanueva, and Jonathan Leung
Chapter 15 AI for Rail Infrastructure and Maintenance
Stefano Bruni, Marco Carnevale, Gabriele Cazzulani,
Egidio Di Gialleonardo, and Ivano La Paglia
Chapter 16 Digital Twin and Artificial Intelligence for Railway Hubs Design and Management
Pierluigi Coppola, Luigi Castagna, and Fulvio Silvestri
Chapter 17 Ethical Considerations for the Development and Deployment of AI in Rail
Yit Hong Choo, Douglas Creighton, Fariza Sabrina, Hong Shen, and MD Mamunur Rashid
Chapter 18 Integration of AI in Digital Twin Technologies
Esteban Bernal Arango
Chapter 19 Future of Digital Twins in the Rail Industry
Maksym Spiryagin, Stefano Bruni, and Colin Cole
Chapter 20 Conclusion
Maksym Spiryagin, Stefano Bruni, and Colin Cole
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