Ship domain in traffic lane waters based on sector grid superposition calculation

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  • (1. Navigation Department, China Coast Guard Academy, Ningbo 315801, China;2. LOOM Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UK;3. Wenzhou Maritime Safety Administration, Wenzhou 325002, China;4. Navigation College, Dalian Maritime University, Dalian 116026, China)

Received date: 2023-03-28

  Revised date: 2023-05-06

  Accepted date: 2023-12-27

  Online published: 2023-05-15

Abstract

In order to accurately and objectively reveal the relationship between ship domain, ship type and ship size near traffic lanes of open water, a method to determine ship domain boundary based on ship automatic identification system (AIS) data was proposed  firstly, i.e., a large amount of AIS data was used to calculate the relative position relationship between ships, and the relative position relationship between ships in different time and space was stacked together. In this way, the distribution of other ships around the center ship is reflected. Secondly, an integrated platform of ship domain analysis was designed, and by combining with the distribution of surrounding ships, the least square method was used to fit the domain boundary, and the ship domain in the study area was obtained. Finally, taking certain traffic lane water as an example, the ship domain of the main ship types were studied. Results show that the ship domain in traffic lane of open water is near elliptic, which is similar to the Fujii ship domain model. The ship domain is related to ship size and ship type,  and increases with the increase of ship size.  in the same size, cargo ship domain is smaller than oil tanker, and the long axis of domain is more significant than the short axis as the length increases.

Cite this article

GAO Feide, CAO Yuhao, ZHANG Peng, WANG Xinjian . Ship domain in traffic lane waters based on sector grid superposition calculation[J]. Journal of Dalian Maritime University, 2023 , 49(4) : 88 -94 . DOI: 10.16411/j.cnki.issn1006-7736.2023.04.010

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