Overview

  This book describes the most recent strategies for the digitalization of railway sector that bring new challenges for the construction, operation, and maintenance of railway infrastructures. These strategies involve the development and application of new technologies and methodologies to enhance the sustainability and resilience of railway infrastructures particularly under extreme climate and operational events. In particular, the digital transformation involves the use of digital twins, augmented and virtual reality, forecast capabilities, risk and life-cycle analysis, cybersecurity, unmanned technologies for monitoring and inspection, computer vision, AI, risk and disaster management, among others. Presently, the literature is lacking a contribution that provides general and foundational knowledge across these and other topics. Therefore, this book provides valuable information for researchers, students, and professionals in railway engineering that want to developtheir knowledge and skills in this field.

Full Product Details

Author:   Diogo Ribeiro ,  Pedro Aires Montenegro ,  Andreas Andersson ,  Maria D. Martínez-Rodrigo
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
Weight:   0.626kg
ISBN:  

9783031495885

ISBN 10:   3031495888
Pages:   256
Publication Date:   25 January 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Advanced numerical simulation of the behavior of railway infrastructure under extreme conditions.- New sensors and digital processing data algorithms for monitoring railway bridges.- Application of low-cost technology for assessing infrastructure performance.- Remote inspection of railway bridges based on UAVs and computer vision.- Monitoring of the railway infrastructures based on GIS and InSAR data.- Condition monitoring of railway bridges supported by Artificial Intelligence.- Condition monitoring of rolling stock supported by Artificial Intelligence.- Drive-by methodologies for smart condition monitoring of railway infrastructure.- Digital twins for condition assessment of railway infrastructures.- Maintenance of railway infrastructure using cyber-physical systems and digital twins.- Applications of augmented and virtual reality in the maintenance of railway infrastructures.- Recent BIM developments and applications on railway infrastructure.- Digital management of railway infrastructures supported by advanced reality capture techniques and BIM- Risk and disaster management in railway infrastructures under climate changes.

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