This research proposes a novel risk domain model for ships using AIS datasets, suggesting improved navigational safety.
In contemporary global commerce, swift advancements are observed within the maritime transportation sector. The frequency of seafaring voyages increases apace, from which it is discerned that navigational safety emerges as an indispensable concern. Paramount to safeguarding vessel operations and diminishing the susceptibility to maritime mishaps has become the integration of ship domain models. Through incorporation of AIS datasets alongside mathematical statistical evaluations melded with insights derived from ship captains, this discourse introduces a novel risk domain paradigm tailor-made for ships. The curated data amalgamated with maritime captaincy was stratified and overlayered, utilizing techniques such as the maximum density method juxtaposed with least squares calculation to ascertain the periphery defining the ship’s risk precinct. This newly conceived model interweaves aspects of ship maneuverability in concert with evasion protocols predicated on extant ship domain models, thereby furnishing actionable guidance for collision avoidance among vessels. It can be seen that such measures extend robust references conducive to augmenting navigational security aboard ships; they bear pronounced import towards curtailing nautical accidents whilst bolstering logistic efficacies.
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Xiong et al. (2025) studied this question.
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