Contributions and limitations of AI and machine learning in railway operations, maintenance, and safety: A literature review
- DOI
- 10.1177/1748006x251364324
- Published
- 2025-09-13
- Container
- Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
- Publisher
- SAGE Publications
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1177/1748006x251364324,
title = {Contributions and limitations of AI and machine learning in railway operations, maintenance, and safety: A literature review},
author = {Habib Hadj-Mabrouk},
year = {2025},
journal = {Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability},
doi = {10.1177/1748006x251364324},
url = {https://doi.org/10.1177/1748006x251364324}
}RIS
TY - JOUR TI - Contributions and limitations of AI and machine learning in railway operations, maintenance, and safety: A literature review AU - Habib Hadj-Mabrouk PY - 2025 JO - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability DO - 10.1177/1748006x251364324 UR - https://doi.org/10.1177/1748006x251364324 ER -
APA
Hadj-Mabrouk, H. (2025). Contributions and limitations of AI and machine learning in railway operations, maintenance, and safety: A literature review. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. https://doi.org/10.1177/1748006x251364324
Source records
- crossref · retrieved 2026-11-04T22:05:32.753Z