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September 30, 2025Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability

Contributions and limitations of AI and machine learning in railway operations, maintenance, and safety: A literature review

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HHHabib Hadj‐Mabrouk

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Overview

Literature review highlights AI methods in railway safety and operations, suggesting new interoperability approaches.

Key Points

  • AI applications significantly improve railway safety through data analysis and accident investigation, revealing crucial aspects of operations.
  • Key findings include supervised, semi-supervised, and unsupervised machine learning techniques used to classify applications within railway systems.
  • This literature review classifies AI techniques by structural and functional railway elements, showcasing both traditional and novel approaches.
  • Limitations arise from the lack of interoperability among AI tools, emphasizing the need for new methodologies such as explainable AI.

Cite This Study

Habib Hadj‐Mabrouk (2025) studied this question.

synapsesocial.com/papers/68dc1e3b8a7d58c25ebb1d3bhttps://doi.org/10.1177/1748006x251364324
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