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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters
1 Shanghai Maritime University, Shanghai, China
ABSTRACT: The identification of areas of collision risk in restricted waters could play an important role in VTS services. Based on the concept of ship domain, this paper introduces a model for identifying collision risk between vessels in restricted waters, then puts forward an improved DBSCAN clustering algorithm for identifying areas of high collision risk, finally, the visualization algorithm is presented. The experimental results in this paper show the algorithm is capable of identifying and rendering areas of collision risk in restricted waters.
KEYWORDS: Anti-Collision, Vessel Traffic Service (VTS), Restricted Waters, Ship Domain, Collision Risk, Clustering Analysis, DBSCAN Algorithm, Collision Risk Area
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Citation note:
Xiang Z., Hu Q., Shi C.J.: A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 1, doi:10.12716/1001.07.01.13, pp. 101-105, 2013
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