J Navig Port Res > Volume 44(6); 2020 > Article
Journal of Navigation and Port Research 2020;44(6):469-476.
DOI: https://doi.org/10.5394/KINPR.2020.44.6.469    Published online December 31, 2020.
해상교통분석 시뮬레이션을 위한 항해사의 충돌회피 행동분석에 관한 연구
김홍태1, 안영중2, 양영훈3
1선박해양플랜트연구소 책임연구원
2한국해양수산연수원 교수
3선박해양플랜트연구소 선임연구원
A Study on the Analysis of Ship Officers’ Collision-Avoidance Behavior During Maritime Traffic Simulation
Hongtae Kim1, Young-Joong Ahn2, Young-Hoon Yang3
1Principal Researcher, Korea Research Institute of Ships & Ocean Engineering, Daejeon, 34103, Korea
2Professor, Korea Institute of Maritime and Fisheries Technology, Busan, 49111, Korea
3Senior Researcher, Korea Research Institute of Ships & Ocean Engineering, Daejeon, 34103, Korea
Correspondence:  Young-Joong Ahn, Tel: 051)620-5795, 
Email: yjahn@seaman.or.kr
Received: 9 November 2020   • Revised: 7 December 2020   • Accepted: 11 December 2020
Abstract
Modeling and Simulation (M&S) systems which deal with situational complexity often require human involvement due to the high-level decision-making that is necessary for ship movement, navigation, control center management, shipping company logistics, meteorological system information, and maritime transportation GIS. In order to properly simulate maritime traffic, it is necessary to accurately model the human decision-making process of the ship officer, including aspects of the ship officer’s behavioral tendencies, personal navigation experience, and pattern of voyage errors, as this is the most accurate way in which to reproduce and predict realistic maritime traffic conditions. In this paper, which looks at agent-based maritime traffic simulation, we created a basic survey in order to conduct behavior analysis on ship operators’ collision avoidance strategies. Using the information gathered throughout the survey, we developed an agent-based navigational behavior model which attempts to capture the behavioral patterns of a ship officer during an instance of ship collision. These results could be used in the future in further developments for more advanced maritime traffic simulation.
Key Words: Maritime traffic analysis, Cognitive modeling, Behavioral modeling, Agent-based simulation


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