Probabilistic Modeling of Maritime Accident Scenarios Leveraging Bayesian Network Techniques

Probabilistic Modeling of Maritime Accident Scenarios Leveraging Bayesian Network Techniques

This paper introduces a scenario evolution model for maritime accidents, wherein Bayesian networks (BNs) were employed to predict the most probable causes of distinct types of maritime incidents. The BN nodes encompass factors such as accident type, life loss contingency, accident severity, quarter...

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Bibliographic Details
Main Authors: Shiguan Liao, Jinxian Weng, Zhaomin Zhang, Zhuang Li, Fang Li
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Journal of Marine Science and Engineering
Subjects:
maritime traffic safety
maritime accident
Bayesian network (BN)
accident scenario analysis
Netica
Online Access:https://www.mdpi.com/2077-1312/11/8/1513

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