Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis

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.

[1]  K. J. Vicente,et al.  Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work , 1999 .

[2]  Seung Moon Ko,et al.  Ecological Interface Design for Air Traffic Control Display , 2006 .

[3]  Rohae Myung,et al.  The Application of Work Domain Analysis for the Development of Vehicle Control Display , 2007 .

[4]  Chul-Wan Kwak,et al.  A Study of Effective Utilization of the Cognitive Work Analysis Framework on Information Behavior Research , 2009 .

[5]  Do-Yeon Kim,et al.  Intelligent Navigation Safety Information System based on Information-Fusion Technology , 2010 .

[6]  Rohae Myung,et al.  Applying Work Domain Analysis for Ecological Interface Design of Safety Monitoring System in the Urban Railway Station , 2010 .

[7]  Gyei-Kark Park,et al.  A Study on Ship Collision Avoidance Algorithm by COLREG , 2011 .

[8]  Do-Yeon Kim,et al.  Intelligent Navigation Safety Information System using Blackboard , 2011 .

[9]  Kwang-Il Kim,et al.  A Quantitative Collision Probability Analysis in Port Waterway , 2012 .

[10]  Young Hwan Park,et al.  A Study on Ecological Interface Design for Navy Ship's Radar Display , 2012 .

[11]  Jung Sik Jeong,et al.  A Study on Development of Maritime Traffic Assessment Model , 2012 .

[12]  Eun Kyung Kim,et al.  Characteristics of Ship Movements in a Fairway , 2012, Int. J. Fuzzy Log. Intell. Syst..

[13]  Seung-Kweon Hong Development of a Cognitive Work Analysis Method for Safe Ship Navigation and a Case Study , 2013 .

[14]  Sungshin Kim,et al.  Positioning and Driving Control of Fork-type Automatic Guided Vehicle With Laser Navigation , 2013, Int. J. Fuzzy Log. Intell. Syst..

[15]  Jung Sik Jeong,et al.  A Study on the Development of Ship's Passage Risk Assessment Simulator , 2013 .

[16]  Jung Sik Jeong,et al.  Assessment of External Force Acting on Ship Using Big Data in Maritime Traffic , 2013 .