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JACIII Vol.18 No.4 pp. 665-671
doi: 10.20965/jaciii.2014.p0665
(2014)

Paper:

Implementation of an Intelligent System for Identifying Vessels Exhibiting Abnormal Navigation Patterns

Do-Yeon Kim*, Jung-Sik Jeong*, Geonung Kim*,
Hwa-Young Kim**, and Taeho Hong*

*Mokpo National Maritime University, 91 Haeyangdaehak-Ro, Mokpo City, Jeon-Nam, 530-729, Republic of Korea

**Korea Ship Safety Technology Authority, 12∼14 Floor, 7-50, Songdo-Dong, Yeonsu-Gu, Incheon City, 406-840, Republic of Korea

Received:
October 14, 2013
Accepted:
March 24, 2014
Published:
July 20, 2014
Keywords:
fuzzy inference, identifying abnormal navigation, risk assessment, vessel traffic service, abnormal navigation patterns
Abstract

The recent rise in maritime traffic volume, resulted from an increase in international marine trading volumes and the growing popularity of marine leisure activities, has increased the frequency of marine accidents. Vessels exhibiting abnormal navigation patterns (e.g., weaving in and out of courses or rotating in the same position) may have a serious impact on other vessels staying on normal courses. For this reason, ground VTS centers are keeping track of criminal vessels or damaged vessels in tandem with marine police. However, the number of available studies aimed at assisting the identification of seemingly apparent risk factors resulting from human errors has been next to nothing to date. In this respect, this study intends to implement an intelligent system that can identify vessels exhibiting abnormal navigation patterns based on fuzzy inference, in order to assist controllers and mates alike.

Cite this article as:
D. Kim, J. Jeong, G. Kim, <. Kim, and T. Hong, “Implementation of an Intelligent System for Identifying Vessels Exhibiting Abnormal Navigation Patterns,” J. Adv. Comput. Intell. Intell. Inform., Vol.18, No.4, pp. 665-671, 2014.
Data files:
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Last updated on Nov. 12, 2018