Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

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Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

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  • 製本 Hardcover:ハードカバー版/ページ数 308 p.
  • 言語 ENG
  • 商品コード 9781032776026
  • DDC分類 625.10028563

Full Description

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.

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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