Research on the Application of Ship Domain Model in Ship Collision Avoidance Dalian Naval Academy, Department of Navigation

Format:

Book

Conference/Event

Author/Creator:

Xiong, Junting, author.

Contributor:

Chen, Xiaofeng

Meng, Fanjun

Zhang, Junpeng

Zhang, Yong

Conference Name:

2025 5th International Conference on Smart City Engineering and Public Transportation (SCEPT2025) (2025-03-28 : Beijing, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2025-99-0068

Access Restriction:

Restricted for use by site license