International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis

  • Kim, Joo-Sung (Department of Maritime Transportation System, Mokpo National Maritime University) ;
  • Jeong, Jung Sik (Department of Maritime Transportation System, Mokpo National Maritime University) ;
  • Park, Gyei-Kark (Department of Maritime Transportation System, Mokpo National Maritime University)
  • Received : 2013.10.01
  • Accepted : 2013.12.24
  • Published : 2013.12.25
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Abstract

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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References

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