Analysis of human factors in ship grounding accidents based on Bayesian networks

Xiaoshuai Wang; Fengwu Wang; Zhe Ji

doi:10.1117/12.3023905

9 April 2024 Analysis of human factors in ship grounding accidents based on Bayesian networks

Xiaoshuai Wang, Fengwu Wang, Zhe Ji

Proceedings Volume 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023); 129890U (2024) https://doi.org/10.1117/12.3023905
Event: Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 2023, Xi'an, China

Abstract

By analyzing the collected accident reports of ship grounding incidents, our aim is to summarize the primary human factors that lead to ship groundings. Through an analysis of the causal chain of grounding accidents, we will determine the Bayesian network structure. Finally, we will apply accident samples to validate the effectiveness of the Bayesian network model established in this paper. Simultaneously, we will conduct a causal analysis of the Bayesian network model to identify the most probable causal chain leading to grounding accidents, thereby providing safety management strategies for seafarers, shipping companies, and maritime safety regulatory authorities.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoshuai Wang, Fengwu Wang, and Zhe Ji "Analysis of human factors in ship grounding accidents based on Bayesian networks", Proc. SPIE 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 129890U (9 April 2024); https://doi.org/10.1117/12.3023905

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