This chapter of “Digital Twin Technologies in Transportation Infrastructure Management” focuses on the role of Digital Twins in the operation and maintenance of transportation infrastructure. The chapter starts with an introduction to Digital Twins in O&M and emphasizes the importance of data models for O&M. It then delves into the concepts and technologies of predictive maintenance, such as machine learning and AI, and their role in Digital Twins. The chapter also covers various applications of Digital Twins in transportation infrastructure O&M, including pavement management, bridge maintenance, and railway system management.
Overall, Chapter 6 provides a comprehensive overview of how Digital Twins can be utilized to enhance the operation and maintenance of transportation infrastructure. By leveraging data-driven approaches, Digital Twins can enable predictive maintenance, reduce downtime, and increase the efficiency of transportation infrastructure O&M. The chapter concludes with a summary of the key takeaways and the potential future developments in this field.
Digital Twins in Operation and Maintenance(O&P)
Digital Twin Technologies in Transportation Infrastructure Management ; Kapitel : 6 ; 179-203
06.12.2023
25 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Operation and maintenance , Digital twin implementation , Remote monitoring , Condition-based maintenance , Asset lifecycle management , Data-driven decision-making Computer Science , Computer-Aided Engineering (CAD, CAE) and Design , Computer Applications , Civil Engineering , Building Repair and Maintenance , Transportation Technology and Traffic Engineering , Building Construction and Design
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