Digital twin for railway: A comprehensive survey

S Ghaboura, R Ferdousi, F Laamarti, C Yang… - IEEE …, 2023 - ieeexplore.ieee.org
Digital transformation has been prioritized in the railway industry to bring automation to
railway operations. Digital Twin (DT) technology has recently gained attention in the railway …

[HTML][HTML] Improving safety management in railway stations through a simulation-based digital twin approach

A Padovano, F Longo, L Manca, R Grugni - Computers & Industrial …, 2024 - Elsevier
In the dynamic milieu of modern, bustling railway stations, the emphasis on safety and
efficient pedestrian traffic management has never been more crucial, elevating the …

Towards AI-assisted digital twins for smart railways: preliminary guideline and reference architecture

L De Donato, R Dirnfeld, A Somma… - Journal of Reliable …, 2023 - Springer
In the last years, there has been a growing interest in the emerging concept of digital twins
(DTs) among software engineers and researchers. DTs not only represent a promising …

Image-based Deep Learning for Smart Digital Twins: a Review

MR Islam, M Subramaniam, PC Huang - arXiv preprint arXiv:2401.02523, 2024 - arxiv.org
Smart Digital twins (SDTs) are being increasingly used to virtually replicate and predict the
behaviors of complex physical systems through continual data assimilation enabling the …

[HTML][HTML] Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins

MO Adeagbo, SM Wang, YQ Ni - Advanced Engineering Informatics, 2024 - Elsevier
Advanced rail transit systems (ARTS), including high-speed rail and maglev trains, provide
enhanced transportation options to meet the growing demand for efficient transportation …

A reusable AI-enabled defect detection system for railway using ensembled CNN

R Ferdousi, F Laamarti, C Yang, AE Saddik - Applied Intelligence, 2024 - Springer
Accurate defect detection is crucial for ensuring the trustworthiness of intelligent railway
systems. Current approaches either rely on static ensembling of Convolutional Neural …

Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection

R Ferdousi, C Yang, MA Hossain, F Laamarti… - Cognitive …, 2024 - Springer
Recent advancements in cognitive computing, through the integration of artificial intelligence
(AI) techniques, have facilitated the development of intelligent cognitive systems (ICS). This …

Integrating AI and DTs: challenges and opportunities in railway maintenance application and beyond

R Dirnfeld, L De Donato, A Somma, MS Azari… - …, 2024 - journals.sagepub.com
In the last years, there has been a growing interest in the emerging concept of digital twin
(DT) as it represents a promising paradigm to continuously monitor cyber–physical systems …