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Risk assessment of port manoeuvres of a chemical tanker vessel

Abramowicz-Gerigk T., Hejmlich A., Randak M.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2023

Vol. 17 No. 4

821--827

The development of smart port systems and autonomous navigation is related to the growing interest in the systemic approach to risk assessment of port operations especially for the vessels transporting dangerous cargo. The paper presents the general risk model of port manoeuvres of a chemical tanker vessel. The risk model is based on Bayesian influence diagram allowing to determine the risk dependent on the decisions made with respect to the applied safety options. The conclusions are based on real life near miss examples and discussion of experienced Ship Masters.

Conversion timing of seafarer’s decision-making for unmanned ship navigation

Zhang R. L., Furusho M.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2017

Vol. 11, no. 3

463--468

The aim of this study is to construct an unmanned ship swarms monitoring model to improve autonomous decision-making efficiency and safety performance of unmanned ship navigation. A framework is proposed to determine the relationship between on-board decision-making and shore side monitoring, the process of ship data detection, tracking, analysis and loss, and the application of decision-making algorithm, to discuss the different risk responses of specific unmanned ship types under various latent hazard environments, particularly in terms of precise conversion timing in switching over to remote control and full manual monitoring, to ensure safe navigation when the capability of automatic risk response inadequate. This frame-work makes it easier to train data and the adjustment for machine learning based on Bayesian risk prediction. It can be concluded that the automation level can be increased and the workload of shore-based seafarers can be reduced easily.