Abstract
The importance of providing digital twins for infrastructure arises from the urgent necessity to enhance the efficiency, resilience, and sustainability of infrastructure systems. A digital twin (DT) refers to a digital replica of physical assets, processes and systems, it brings the opportunity to turn passive infrastructure assets into cyber-physical systems. Despite the increasing trend, the transportation industry lacks reviews on DTs, especially in the area of railway systems. This article shows several opportunities and advantages of DTs, focusing on the use of DTs in the railway sector. It also provides a review of existing DT architectures. The study highlights the importance of acquiring a systems perspective when designing DTs today to facilitate the development of interoperable systems of systems in the future. To this end, we present a conceptual architecture of railway subsystems integrating seamlessly digital models and data into a holistic large-scale railway infrastructure system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alam, K.M., El Saddik, A.: C2PS: A digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access (2017). https://doi.org/10.1109/ACCESS.2017.2657006
Bocchini, P., Frangopol, D., Ummenhofer, T., Zinke, T.: Resilience and sustainability of civil infrastructure: toward a unified approach. J. Infrastruct. Syst. 20, 04014004 (2014). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000177
Boschert, S., Rosen, R.: Digital Twin—The Simulation Aspect. In: Hehenberger, P., Bradley, D. (eds.) Mechatronic Futures, pp. 59–74. Springer International Publishing, Cham (2016). https://doi.org/10.1007/978-3-319-32156-1_5
In: Gelernter, D., (ed.) Mirror Worlds: Or: The Day Software Puts the Universe in a Shoebox...How It Will Happen and What It Will Mean. Oxford University Press (1991)
Glaessgen, E., Stargel, D.: The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles. In: 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics
Grieves, M.: Product lifecycle management: the new paradigm for enterprises. Int. J. Prod. Dev. 2 (2005). https://doi.org/10.1504/IJPD.2005.006669
Grieves, M.: Digital Twin: Manufacturing Excellence through Virtual Factory Replication (2015)
Kaewunruen, S., Lian, Q.: Digital twin aided sustainability-based lifecycle management for railway turnout systems. J. Clean. Prod. 228, 1537–1551 (2019). https://doi.org/10.1016/j.jclepro.2019.04.156
Kampczyk, A., Dybeł, K.: The Fundamental Approach of the digital twin application in railway turnouts with innovative monitoring of weather conditions. Sensors 21(17), 5757 (2021). https://doi.org/10.3390/s21175757
Leng, J., Jiang, P.: Granular computing–based development of service process reference models in social manufacturing contexts. Concurr. Eng. 25, 95–107 (2017). https://doi.org/10.1177/1063293X16666312
Tao, F., Zhang, H., Liu, A., Nee, A.Y.C.: Digital Twin in industry: State-of-the-Art. IEEE Trans. Industr. Inf. 15, 2405–2415 (2019). https://doi.org/10.1109/TII.2018.2873186
Tao, F., Zhang, M., Liu, Y., Nee, A.Y.C.: Digital twin driven prognostics and health management for complex equipment. CIRP Ann. 67, 169–172 (2018). https://doi.org/10.1016/j.cirp.2018.04.055
Ye, C.: A Digital Twin of Bridges for Structural Health Monitoring (2019)
Zhang, H., Liu, Q., Chen, X., Zhang, D., Leng, J.: A digital twin-based approach for designing and multi-objective optimization of hollow glass production line. IEEE Access 5, 26901–26911 (2017). https://doi.org/10.1109/ACCESS.2017.2766453
Home - railML.org (EN) (2023). https://www.railml.org/en/. (Accessed 25 Jun 2023)
Functional Mock-up Interface. https://fmi-standard.org/. (Accessed 20 Jun 2023)
Funding
This research was carried out as part of the Research Chair “Digital twins of construction and infrastructure in their environment” at ESTP https://chaire-jumeaux-numeriques.estp.fr, funded by Egis, Bouygues Construction, Schneider Electric, BRGM, SNCF Réseau, and ENSAM.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bouali, M., Sammuneh, M.A., Meouche, R.E., Ababsa, F., Salavati, B., Viguier, F. (2024). Digital Twin Architectures for Railway Infrastructure. In: Ben Ahmed, M., Boudhir, A.A., El Meouche, R., Karaș, İ.R. (eds) Innovations in Smart Cities Applications Volume 7. SCA 2023. Lecture Notes in Networks and Systems, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-031-54376-0_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-54376-0_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-54375-3
Online ISBN: 978-3-031-54376-0
eBook Packages: EngineeringEngineering (R0)