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Probabilistic Modeling of Maritime Accident Scenarios Leveraging Bayesian Network Techniques

2023-06-22

Abstract excerpt

This paper presents a scenario evolution model for maritime accidents using Bayesian networks (BN) to predict the most likely causes of specific types of maritime incidents. The BN nodes encompass accident type, life loss contingency, accident severity, the quarter and time period of the accident, and the type and gross tonnage of the ships involved. We analyzed 5,660 global maritime accidents from 2005 to 2020. U...

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Literature Corpus work
13342f6d-d81a-5008-9844-60b955f210ee
DOI
10.20944/preprints202306.1597.v1
Open publication

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Probabilistic Modeling of Maritime Accident Scenarios Leveraging Bayesian Network TechniquesDOI 10.20944/preprints202306.1597.v1
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