From CCS-Planning to Testautomation: The Digital Testfield of Deutsche Bahn in Scheibenberg - A Case Study

Boockmeyer, Arne; Friedenberger, Dirk; Pirl, Lukas; Schmid, Robert; Polze, Andreas; Herholz, Heiko; Arnim, Gisela Freiin von; Ibáñez, Pedro; Friedrich, Torsten; Klaus, Christoph; Wilhelmi, Christian

doi:10.1109/ic2e52221.2021.00043

Cited by 4 publications

(1 citation statement)

References 1 publication

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“…The control of outdoor signal equipment is executed by an object controller (electronic programmable controller), with a control distance much larger than electronic interlocking, which can significantly reduce the number of cables. The combination of digital interlocking technology and ETCS system can further improve the automation level of railways, enabling railway operations to achieve true technological progress and maximize benefits (Boockmeyer et al. , 2021).…”

Section: Current State Of Global Railway Intelligent Digital Transfor...mentioning

confidence: 99%

Current state and predicted technological trends in global railway intelligent digital transformation

Li,

Xue,

Shao

et al. 2023

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PurposeIn recent years, railway systems worldwide have faced challenges such as the modernization of engineering projects, efficient management of intelligent digital railway equipment, rapid growth in passenger and freight transport demands, customized transport services and ubiquitous transport safety. The transformation toward intelligent digital transformation in railways has emerged as an effective response to the formidable challenges confronting the railway industry, thereby becoming an inevitable global trend in railway development.Design/methodology/approachThis paper, therefore, conducts a comprehensive analysis of the current state of global railway intelligent digital transformation, focusing on the characteristics and applications of intelligent digital transformation technology. It summarizes and analyzes relevant technologies and applicable scenarios in the realm of railway intelligent digital transformation, theoretically elucidating the development process of global railway intelligent digital transformation and, in practice, providing guidance and empirical examples for railway intelligence and digital transformation.FindingsDigital and intelligent technologies follow a wave-like pattern of continuous iterative evolution, progressing from the early stages, to a period of increasing attention and popularity, then to a phase of declining interest, followed by a resurgence and ultimately reaching a mature stage.Originality/valueThe results offer reference and guidance to fully leverage the opportunities presented by the latest wave of the digitalization revolution, accelerate the overall upgrade of the railway industry and promote global collaborative development in railway intelligent digital transformation.

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Section: Current State Of Global Railway Intelligent Digital Transfor...mentioning

confidence: 99%

Current state and predicted technological trends in global railway intelligent digital transformation

Li,

Xue,

Shao

et al. 2023

View full text Add to dashboard Cite

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Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines

Dirnfeld

Donato

Flammini

et al. 2022

Communications in Computer and Information Science

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In the last years, there has been a growing interest in the emerging concept of Digital Twins (DTs) among soJware engineers and researchers. DTs represent a promising paradigm to enhance the predictability, safety, and reliability of cyber-physical systems. They can play a key role in different domains, as it is also witnessed by several ongoing standardisa2on ac2vi2es. However, several challenging issues have to be faced in order to effec2vely adopt DTs, in par2cular when dealing with cri2cal systems. This work provides a review of the scien2fic literature on DTs in the railway sector, with a special focus on their rela2onship with Ar2ficial Intelligence. Challenges and opportuni2es for the usage of DTs in railways have been iden2fied, with interoperability being the most discussed challenge. One difficulty is to transmit opera2onal data in real-2me from edge systems to the cloud in order to achieve 2mely decision making. We also provide some guidelines to support the design of DTs with a focus on machine learning for railway maintenance.

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

Donato

Dirnfeld

Somma

et al. 2023

J Reliable Intell Environ

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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 paradigm to improve product quality and optimize production processes, but they also may help enhance the predictability and resilience of cyber-physical systems operating in critical contexts. In this work, we investigate the adoption of DTs in the railway sector, focusing in particular on the role of artificial intelligence (AI) technologies as key enablers for building added-value services and applications related to smart decision-making. In this paper, in particular, we address predictive maintenance which represents one of the most promising services benefiting from the combination of DT and AI. To cope with the lack of mature DT development methodologies and standardized frameworks, we detail a workflow for DT design and development specifically tailored to a predictive maintenance scenario and propose a high-level architecture for AI-enabled DTs supporting such workflow.

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From CCS-Planning to Testautomation: The Digital Testfield of Deutsche Bahn in Scheibenberg - A Case Study

Cited by 4 publications

References 1 publication

Current state and predicted technological trends in global railway intelligent digital transformation

Current state and predicted technological trends in global railway intelligent digital transformation

Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines

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

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