Let’s augment the future together! Augmented reality troubleshooting support for IT/OT rolling stock failures

Sara Elisabeth Scheffer

Research output: ThesisPhD Thesis - Research UT, graduation UT

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The railway industry is moving to a socio-technological system that relies on computer-controlled and human-machine interfaces. Opportunities arise for creating new services and commercial business cases by using technological innovations and traffic management systems. The convergence of Information Technology (IT) with Operational Technology (OT) is critical for cost-effective and reliable railway operations. However, this convergence introduces complexities, leading to more intricate rolling stock system failures. Hence, operators necessitate assistance in their troubleshooting and maintenance strategy to simplify the decision-making and action-taking processes. Augmented Reality (AR) emerges as a pivotal tool for troubleshooting within this context. AR enhances the operator’s ability to visualize, contextualize, and understand complex data by overlaying real-time and virtual information onto physical objects. AR supports the identification of IT/OT rolling stock system failures, offers troubleshooting directions, and streamlines maintenance procedures, ultimately enhancing decision-making and action-taking processes. This thesis investigates how AR can support operators in navigating troubleshooting and maintenance challenges posed by IT/OT rolling stock system failures in the railway industry.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Twente
  • van Dongen, Leo A.M., Supervisor
  • Martinetti, Alberto, Co-Supervisor
  • Damgrave, Roy G.J., Co-Supervisor
Award date14 May 2024
Place of PublicationEnschede
Print ISBNs978-90-365-6017-7
Electronic ISBNs978-90-365-6018-4
Publication statusPublished - 14 May 2024


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