Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

The 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.

Maksym Spiryagin is Professor of Engineering and the Deputy Director of the Centre for Railway Engineering at Central Queensland University. Professor Maksym Spiryagin's current research work includes almost all stages of the development and realization of an engineering project from the definition of its aims to the development of design concepts and, if required, advanced computer simulation approaches and physics-based digital twin techniques including their verification by experimental programs and the development of the final solutions. Professor Spiryagin is an Associate Editor of the Journal of Rail and Rapid Transit, the Journal of Vehicle System Dynamics and the Journal of Railway Engineering Science. Professor Spiryagin has published five authored books (including 'Design and simulation of heavy haul locomotives and trains' in 2017 and 'Rail Vehicle Mechatronics' in 2021) and two edited books (including 'Handbook of Railway Vehicle Dynamics, Second Edition' in 2020), and he has more than 330 other scientific publications. Professor Spiryagin is a Chartered Professional Engineer, RPEQ and RPEV in Australia and a Chartered Engineer in the UK. Stefano Bruni is Full Professor at Politecnico di Milano, Department of Mechanical Engineering, where he teaches applied mechanics and dynamics. He is the leader of the "Railway Dynamics" research group, carrying out research on rail vehicles and their interaction with the infrastructure. Prof. Bruni authored over 330 scientific papers, mostly related to rail vehicle dynamics, train-track interaction, wheel/rail contact forces, damage and wear of wheels and rails, active control and condition monitoring of rail vehicles, and pantograph-catenary interaction. He is / has been lead scientist for several research projects funded by the railway industry and by the European Commission. He is past Vice-President of the IAVSD, the International Association for Vehicle System Dynamics, and was chairman of the IAVSD'05 International conference held in Milano in 2005. He is Editorial Board member for some international journals in the field of Railway Engineering. Colin Cole is Professor of Engineering and the Director of the Centre for Railway Engineering at Central Queensland University. He has worked in the Australian rail industry since 1984, starting with six years in mechanized track maintenance for Queensland Railways. Since then, he has focused on a research and consulting career involving work on track maintenance, train and wagon dynamics, train control technologies and the development of on-board devices. He has been extensively engaged with industry via the past nationally funded Rail CRC programs and the Australasian Centre for Rail Innovation. His PhD was in Longitudinal Train Dynamics Modelling. He has authored and/or co-authored over three hundred technical papers, three books, numerous commercial research and consulting reports, and has developed two patents relating to in-cabin locomotive technologies. He has continued to develop the railway ant road specific modelling and software tools with focus on traction, vehicle stability and energy consumption. Professor Cole is a Chartered Professional Engineer and RPEQ in Australia

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 DatäDriven 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