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Artificial intelligence for railroads: Potential and challenges for application

Sinnemann, Jannis and Franzen, Julian and Meirich, Christian and Baasch, Benjamin and Roth, Michael (2023) Artificial intelligence for railroads: Potential and challenges for application. ETR - Eisenbahntechnische Rundschau, 2023, pp. 22-24. DVV Media Group. ISSN 0013-2845.

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Official URL: https://www.eurailpress.de/magazine.html


It is clear that AI methods have a great deal to contribute to the solution of relevant problems. Realistic expectation management for AI solutions is important for a productive compromise between the extreme “AI can solve everything” and “AI is unusable” positions. AI tools should therefore not be considered in isolation, but approached as an effective tool that can harmonize with other methodologies. This secures a connection to established procedures and enhances acceptance by stakeholders. It is also clear that there is a need of guidelines and procedures for approving AI algorithms, especially in safety-critical applications. Since the capabilities and reliability of AI methods will continue to grow in the future, it is important to start preparing for their use by initiating suitable approval procedures.

Item URL in elib:https://elib.dlr.de/197606/
Document Type:Article
Title:Artificial intelligence for railroads: Potential and challenges for application
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Meirich, ChristianUNSPECIFIEDhttps://orcid.org/0000-0002-0105-345XUNSPECIFIED
Baasch, BenjaminUNSPECIFIEDhttps://orcid.org/0000-0003-1970-3964UNSPECIFIED
Roth, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-4812-346XUNSPECIFIED
Date:October 2023
Journal or Publication Title:ETR - Eisenbahntechnische Rundschau
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 22-24
Publisher:DVV Media Group
Series Name:ETR - International
Keywords:KI, AI, railway operations, rail vehicles, rail infrastructure
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - INTRA - Infrastruktur und Transformation
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Institute of Transportation Systems > Design and Evaluation of Mobility Solutions, BS
Institute of Transportation Systems > Information Gathering and Modelling, BA
Institute of Transportation Systems > Information Gathering and Modelling, BS
Deposited By: Meirich, Dr.-Ing. Christian
Deposited On:29 Sep 2023 14:25
Last Modified:29 Sep 2023 14:25

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