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논문 기본 정보

자료유형
학술저널
저자정보
Joo-Sung Kim (Mokpo National Maritime University) Jung Sik Jeong (Mokpo National Maritime University) Gyei-Kark Park (Mokpo National Maritime University)
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.13 No.4
발행연도
2013.12
수록면
315 - 323 (9page)

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초록· 키워드

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Vessel Traffic Service (VTS) is being used at ports and in coastal areas of the world for preventing accidents and improving efficiency of the vessels at sea on the basis of “IMO RESOLUTION A.857 (20) on Guidelines for Vessel Traffic Services.” Currently, VTS plays an important role in the prevention of maritime accidents, as ships are required to participate in the system. Ships are diversified and traffic situations in ports and coastal areas have become more complicated than before. The role of VTS operator (VTSO) has been enlarged because of these reasons, and VTSO is required to be clearly aware of maritime situations and take decisions in emergency situations. In this paper, we propose a prediction table to improve the work of VTSO through the Cognitive Work Analysis (CWA), which analyzes the VTS work very systematically. The required data were collected through interviews and observations of 14 VTSOs. The prediction tool supports decision-making in terms of a proactive measure for the prevention of maritime accidents.

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Abstract
1. Introduction
2. Vessel Traffic Service
3. Cognitive Work Analysis
4. Utilization of CWA
5. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2015-004-000991350