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Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

          
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About the Book

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.

Table of Contents:
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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Product Details
  • ISBN-13: 9781032776026
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 254 mm
  • No of Pages: 308
  • Width: 178 mm
  • ISBN-10: 1032776021
  • Publisher Date: 16 Jun 2025
  • Binding: Hardback
  • Language: English
  • Weight: 847 gr


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