A Conceptual Model-based Digital Twin Platform for Holistic Large-scale Railway Infrastructure Systems Article Swipe
Shiyang Zhou
,
Stefan Dumss
,
Rebecca Nowak
,
Rainer Riegler
,
Ozan Kugu
,
Martin Krammer
,
Manfred Grafinger
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2022.05.263
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2022.05.263
Railway is crucial for a sustainable transportation system. Digitization of the railway infrastructure system has a proven impact on improving its resilience and efficiency while reducing the overall cost. The increased digitization of railway infrastructure systems provides a solid basis for the realization of a digital twin (DT), which can continuously merge different sources of data and diverse models for monitoring, diagnostics, and prognostics to optimize railway performance. However, the railway infrastructure system is sophisticated and consists of a series of subsystems, including turnouts, tunnels, vehicles, etc. Current researches mainly focus on the DT application of the single subsystem, but the comprehensive communication and interactions between diverse railway infrastructure subsystems remain a largely under-explored domain. Aiming to fill the gap, this research introduces a conceptual architecture to develop a DT platform to seamlessly integrate and automatically link digital models and data of different subsystems into a holistic large-scale railway infrastructure system. The model cooperation frameworks, communication approaches and visualization toolbox are presented in this work. One typical use case of the platform will also be implemented and discussed. ft is expected that this research will shed new light on the sustainable development of the holistic large-scale railway infrastructure system.
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- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procir.2022.05.263
- OA Status
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- Cited By
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://doi.org/10.1016/j.procir.2022.05.263Digital Object Identifier
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A Conceptual Model-based Digital Twin Platform for Holistic Large-scale Railway Infrastructure SystemsWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
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2022-01-01Full publication date if available
- Authors
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Shiyang Zhou, Stefan Dumss, Rebecca Nowak, Rainer Riegler, Ozan Kugu, Martin Krammer, Manfred GrafingerList of authors in order
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https://doi.org/10.1016/j.procir.2022.05.263Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.procir.2022.05.263Direct OA link when available
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Digitization, Systems engineering, Toolbox, Engineering, Computer science, Merge (version control), Scalability, Telecommunications, Database, Information retrieval, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
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20Total citation count in OpenAlex
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2025: 4, 2024: 9, 2023: 7Per-year citation counts (last 5 years)
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13Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3157777350, https://openalex.org/W2988561860, https://openalex.org/W2897333915, https://openalex.org/W3209398723, https://openalex.org/W2943464177, https://openalex.org/W3193651508, https://openalex.org/W2942865339, https://openalex.org/W2110487094, https://openalex.org/W2988439746, https://openalex.org/W2740370869, https://openalex.org/W3202164291, https://openalex.org/W7043297757, https://openalex.org/W2008856128 |
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