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 …

Maritime transportation system has made a significant contribution to the development of the
world economy. However, with the growth of quantity, scale, and speed of ships, maritime …

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 …

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 …

As an important data source, marine accident investigation reports are frequently used for
accident analysis. However, it is hard to extract effective information since key knowledge is …

The paper proposes a probabilistic framework for assessing the risk of ships based on a
hybrid approach and multiple data sources. A Bayes-based network learning approach uses …

Our research study indicates that, over the past few decades, the expected decrease in the
number of maritime accidents has not occurred. The statistics show the collision and contact …

Maritime transport is intimately tied to the global economy and trade. Research on maritime
transport risk is of great significance to prevent maritime accidents and enhance the safety of …

Maritime transportation poses risks regarding possible accidents resulting in damage to
vessels, crew members and to the ecosystem. The safe navigation of ships, especially in the …

The risks involved in ship pilotage operations are characterized by random, uncertain and
complex features. To reveal the spatiotemporal evolution of ship collision risks in the …