Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications

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 IntelligenceMaksym Spiryagin, Stefano Bruni, and Colin ColeChapter 2 Architecture Concepts of Digital TwinsFlorian Klinger and Johannes EdelmannChapter 3 Data Collection and Management for Digital TwinsGiovanni Lugaresi, Lulai Zhu, and Andrea MattaChapter 4 Digital Twin Modeling and SimulationMaksym Spiryagin, Yan Quan Sun, Thomas Mond, Chris Bosomworth, and Leron PostelnikChapter 5 Development of Data‑Driven Digital TwinsJacek Mocki, George Stojkovski, and Jake PisanoChapter 6 Development of Physics‑Based Digital TwinSanjar Ahmad and Farzaneh TahmoorianChapter 7 Development of Human–Digital Twin InteractionAnjum NaweedChapter 8 Digital Twins for Rail Vehicle DesignsNicola Bosso, Matteo Magelli, and Nicolò ZampieriChapter 9 Digital Twins for Railway Infrastructure Asset Management and MaintenanceMarco Macchi, Adalberto Polenghi, and Irene RodaChapter 10 Digital Twins for Train Operation OptimizationsColin ColeChapter 11 Digital Twins for Train Operational Safety and ReliabilityQing Wu, Xiaohua Ge, Shengyang Zhu, and Shuai SuChapter 12 Digital Twins for Rail Network InfrastructureFarzaneh Tahmoorian, Travis March, and Maksym SpiryaginChapter 13 AI in Digital Twins for Rail OperationsFrancesco Flammini, Elena Napoletano, and Stefano RicciChapter 14 AI for Rolling StockSebastian Stichel, Wolfgang Birk, Carlos Casanueva, and Jonathan LeungChapter 15 AI for Rail Infrastructure and MaintenanceStefano Bruni, Marco Carnevale, Gabriele Cazzulani,Egidio Di Gialleonardo, and Ivano La PagliaChapter 16 Digital Twin and Artificial Intelligence for Railway Hubs Design and ManagementPierluigi Coppola, Luigi Castagna, and Fulvio SilvestriChapter 17 Ethical Considerations for the Development and Deployment of AI in RailYit Hong Choo, Douglas Creighton, Fariza Sabrina, Hong Shen, and MD Mamunur RashidChapter 18 Integration of AI in Digital Twin TechnologiesEsteban Bernal ArangoChapter 19 Future of Digital Twins in the Rail IndustryMaksym Spiryagin, Stefano Bruni, and Colin ColeChapter 20 ConclusionMaksym Spiryagin, Stefano Bruni, and Colin Cole