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Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …
throughout the system life-cycle to ensure the dependability of safety-critical systems …
Review of techniques and challenges of human and organizational factors analysis in maritime transportation
This paper summarises the advanced techniques adopted for the analysis of human and
organizational factors, which are the predominant factors in maritime accidents, and the …
organizational factors, which are the predominant factors in maritime accidents, and the …
[HTML][HTML] Data-driven Bayesian network for risk analysis of global maritime accidents
Maritime risk research often suffers from insufficient data for accurate prediction and
analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime …
analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime …
[HTML][HTML] A big data analytics method for the evaluation of ship-ship collision risk reflecting hydrometeorological conditions
This paper presents a big data analytics method for the evaluation of ship-ship collision risk
in real operational conditions. The approach makes use of big data from Automatic …
in real operational conditions. The approach makes use of big data from Automatic …
A predictive analytics method for maritime traffic flow complexity estimation in inland waterways
Maritime traffic flow complexity is the factor that presents in most existing maritime safety
analysis methods. It is considered as one of the main influencing factors affecting maritime …
analysis methods. It is considered as one of the main influencing factors affecting maritime …
Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network
A data-driven Bayesian network model (BN) is used to analyse the relationship between the
severity of marine accidents and relevant Accident Influential Factors (AIFs). Firstly, based …
severity of marine accidents and relevant Accident Influential Factors (AIFs). Firstly, based …
Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network
A data-driven Bayesian network (BN) is used to investigate the effect of human factors on
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …
A systematic analysis for maritime accidents causation in Chinese coastal waters using machine learning approaches
Maritime safety is critical as many maritime accidents involve catastrophic consequences,
including both fatalities and financial loss. To identify the factors which caused maritime …
including both fatalities and financial loss. To identify the factors which caused maritime …
Analyzing barriers to inland waterways as a sustainable transportation mode in India: A dematel-ISM based approach
Finding sustainable measures for maritime transport has long been a significant issue owing
to a rising global population and the internationalization of supply chains. In Indian contexts …
to a rising global population and the internationalization of supply chains. In Indian contexts …
Bayesian network modeling of accident investigation reports for aviation safety assessment
Safety assurance is of paramount importance in the air transportation system. In this paper,
we analyze the historical passenger airline accidents that happened from 1982 to 2006 as …
we analyze the historical passenger airline accidents that happened from 1982 to 2006 as …