• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2011.11a
• /
• pp.138-139
• /
• 2011

본 논문은 해양사고의 93%가 1~3명의 사람과 관련됨에 따라 해양사고 감소를 위하여 선원의 행동유형을 분석하고자 한다. 이에 현재 승선 중 혹은 승선을 예정하고 교육을 받고 있는 이들을 대상으로 설문을 실시하여 그들의 행동유형을 분석, 승선 이후 해양사고의 감소를 위한 방안을 도출했다. 이들은 연령과 총 승선경력에 따라 "가"유형과 "라"유형이 특징적으로 나타났으며, 30대 이하 및 5년 이하의 총 승선경력 집단에서는 환경에 대한 적응에 필요한 요소와 지시사항의 반복이 필요하며, 31세 이상 및 6년 이상의 총 승선경력 집단에서는 정확한 정보에 기인한 올바른 커뮤니케이션이 가능하도록 시스템 및 교육의 보완이 필요하다.

• Journal of Navigation and Port Research
• /
• v.43 no.3
• /
• pp.160-165
• /
• 2019

The conduct of seafarer is major cause of marine accidents. This study models the behavior of the seafarer based on the Hidden Markov Model (HMM). Additionally, through the path analysis of the behavior estimated by the model, the kind of situations, procedures and errors that may have caused the marine accidents were interpreted. To successfully implement the model, the seafarer behaviors were observed by means of the summarized verdict reports issued by the Korean Maritime Safety Tribunal, and the observed results converted into behavior data suitable for HMM learning through the behavior classification framework based on the SRKBB (Skill-, Rule-, and Knowledge-Based Behavior). As a result of modeling the seafarer behaviors by the type of vessels, it was established that there was a difference between the models, and the possibility of identifying the preferred path of the seafarer behaviors. Through these results, it is expected that the model implementation technique proposed in this study can be applied to the prediction of the behavior of the seafarer as well as contribute to the prioritization of the behavior correction among seafarers, which is necessary for the prevention of marine accidents.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.24 no.6
• /
• pp.701-708
• /
• 2018

Human error is an important cause of maritime accidents and the identification of human error is fundamental to maritime-accident preventions. In particular, the pattern of technical behavior taken in the circumstance of bridge teams(navigator & helmsman) provides important information to identify human error. The purpose of this study is to identify and analyze technical behavior pattern of bridge teams using Williamson's turn for rescue of persons overboard. The focus of this study is to build and analyze a cognitive model of the human behavior factors of the bridge teams in the process of implementing the experiments. The experimental environment was constructed using a ship-handling simulator and conducted an experiment on participants from 24 bridge teams. As a result of the experiment, it was able to identify the behavior pattern of the ship's maneuvering and maintain trajectory using the rudder and engine. This study is expected to correct human error in the bridge teams application to the certification and training of seafarers.