Prediction of ship domain on coastal waters by using AIS data

Kundakçı B., Nas S., Gucma L.

Ocean Engineering, vol.273, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 273
  • Publication Date: 2023
  • Doi Number: 10.1016/j.oceaneng.2023.113921
  • Journal Name: Ocean Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Computer & Applied Sciences, Environment Index, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: AIS Data, Marine traffic, Ship domain
  • Dokuz Eylül University Affiliated: Yes

Abstract

Ship domain is crucial for collision risk assessments and may vary depending on the navigation area. In this study, an empirical ship domain model for coastal waters is proposed. The proposed ship domain model is planned to reveal the ship domain model for an area where no traffic separation scheme exists. In the study, dodecagon ship domain for different type and size of vessels was created. One-year (11 month) of vessel encounters were analyzed and ship domain boundaries are prepared by considering different safety criteria. The passages of the vessel from forward, aft, port, and starboard were also statistically analyzed and the changes in ship domain dimensions according to the ship type and size are revealed. This model shows the vessels behavior regardless of traffic separation rules.