Artificial Intelligence in Maritime Transportation: A Comprehensive Overview Evaluation of Safety and Risk Management Applications

Authors

  • Amjad Khuda Bakhsh Author
  • Bushra Abbas Khan Author
  • Zoobia Abbas Author

Keywords:

Artificial Intelligence (AI), Maritime Safety, Risk Management, Predictive Maintenance, Navigation Systems, Hazard Detection, Marine Operations

Abstract

Maritime transportation is essential for international trade but encounters considerable hazards and operational difficulties. Ensuring safety is crucial for safeguarding people, the environment, and economic stability. This review examines the function of artificial intelligence (AI) in improving marine safety and risk management administration. Prominent AI applications encompass risk assessment, staff resource management, hazardous material management, predictive maintenance, and navigation systems. AI technologies detect possible hazards, offer real-time decision support, oversee hazardous materials, forecast equipment breakdowns, and enhance shipping routes. Case studies, including Wärtsilä’s Fleet Operations Solution and ABB Ability™ Marine Pilot Vision, demonstrate the advantages of AI in enhancing safety and efficiency. Notwithstanding these developments, the integration of AI presents hurdles with infrastructure compatibility, data quality, and regulatory matters. Addressing these issues is crucial for effective AI applications. This analysis underscores AI's capacity to revolutionize maritime safety, stressing the necessity for innovation, standardized protocols, and stringent regulatory frameworks to attain safer and more effective marine operations.

Additional Files

Published

2026-01-19

How to Cite

Artificial Intelligence in Maritime Transportation: A Comprehensive Overview Evaluation of Safety and Risk Management Applications. (2026). Frontiers in Computational Spatial Intelligence, 4(1), 1-29. https://journal.xdgen.com/index.php/FCSI/article/view/490

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