USE OF BAYESIAN METHOD FOR ASSESSING VESSEL TRAFFIC RISKS AT SEA

Author:

HU SHENPING1,LI XUDONG1,FANG QUANGEN1,YANG ZAILI2

Affiliation:

1. Merchant Marine College, Shanghai Maritime University, 1550 Pudong Ave, Shanghai, 200135, China

2. School of Engineering, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, United Kingdom

Abstract

Risks associated with a vessel traffic system at sea are analyzed according to the elements in this system and a new method is developed to ensure safe ship operation. Based on Bayes' point estimation and probability influence diagram to estimate the traffic accidents related to vessel traffic, an analysis model is established for the quantitative risk assessment (QRA) of the vessel traffic system at sea. After the analysis on occurrence likelihood of the accidents related to ship traffic, a structure on the basis of Bayesian networks is developed to obtain the QRA of their relative risks. QRA is also put forward after analyzing the features and situations of the vessel traffic system and identifying the corresponding hazards including characteristics of those hazards. The risk distributions of ship traffic are described and results are presented on QRA in relation to various features by using this risk assessment model. This method, verified in the cases of QRA, turns out to be feasible by the use of identified posterior probability.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous),Computer Science (miscellaneous)

Reference20 articles.

1. Risk assessment in maritime transportation

2. C. L. Mei and J. C. Fan, Data Analysis Method (Xi'an Communication University Press, Xi'an, 2006) pp. 176–205.

3. Bayesian methodology for reliability model acceptance

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