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http://dx.doi.org/10.5394/KINPR.2020.44.6.469

A Study on the Analysis of Ship Officers' Collision-Avoidance Behavior During Maritime Traffic Simulation  

Kim, Hongtae (Korea Research Institute of Ships & Ocean Engineering)
Ahn, Young-Joong (Korea Institute of Maritime and Fisheries Technology)
Yang, Young-Hoon (Korea Research Institute of Ships & Ocean Engineering)
Publication Information
Journal of Navigation and Port Research / v.44, no.6, 2020 , pp. 469-476 More about this Journal
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.
Keywords
Maritime traffic analysis; Cognitive modeling; Behavioral modeling; Agent-based simulation;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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