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2021 | OriginalPaper | Chapter

Risk Assessment of Sea Navigation of Amphibious Vehicles Based on Bayesian Network

Authors : Jian-hua Luo, Chao Song, Yi-zhuo Jia

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

This paper analyzes the risks related to amphibious vehicle navigation, evaluates the safety risks, and puts forward a feasible solution to the possible risks. Based on Bayesian probability statistics and network reasoning, a quantitative calculation and analysis of the system risk distribution is performed to obtain the maritime navigation safety estimation results of the amphibious vehicle. The results have been verified in the QRA case, which provides beneficial suggestions for its maritime navigation. Traffic accidents related to maritime navigation of amphibious vehicles were estimated by Bayesian learning and Bayesian point estimation in this paper, and an amphibious vehicle maritime navigation traffic system analysis model was established, and its relative risk QRA was obtained through Bayesian networks. The risks related to maritime navigation of amphibious vehicles were evaluated, a safety risk assessment was carried out, and a feasible solution was proposed for possible risks.

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Metadata
Title
Risk Assessment of Sea Navigation of Amphibious Vehicles Based on Bayesian Network
Authors
Jian-hua Luo
Chao Song
Yi-zhuo Jia
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_205

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