Search
Abstract
The paper presents a new model of ship collision risk, which utilises a ship domain concept and the related domain-based collision risk parameters. An encounter is here described by five variables representing: degree of domain violation (DDV), relative speed of the two vessels, combination of the vessels’ courses, arena violations and encounter complexity. As for the first three variables, their values can be directly computed based on positions, courses and speeds of two vessels. The last two variables require decomposing a close quarters situation into phases. For this purpose the method utilizes a number of auxiliary parameters derived from the concept of ship domain: time of domain violation (TDV), time of domain exit (TDE), timespan of close quarters situation and vessels’ proximity, which is quantified based on the ship arena. The formulas and algorithms for determining all variables’ values are provided in detail. Once all the values are computed, the final collision risk assessment is made. Possible applications of the presented model include: AIS-based near-miss detection, Collision Alert Systems (CAS) and collision avoidance decision support systems (DSS). Case studies for those applications are provided, including examples of encounter classification and quantification of collision risk.
Citations
-
5 7
CrossRef
-
0
Web of Science
-
6 0
Scopus
Authors (2)
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.ress.2021.107766
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
RELIABILITY ENGINEERING & SYSTEM SAFETY
no. 214,
ISSN: 0951-8320 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Szłapczyński R., Szłapczyńska J.: A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems// RELIABILITY ENGINEERING & SYSTEM SAFETY -Vol. 214, (2021), s.107766-
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.ress.2021.107766
- Verified by:
- Gdańsk University of Technology
seen 175 times