Estimating the Behavior Path of Seafarer Involved in Marine Accidents by Hidden Markov Model

은닉 마르코프 모델을 이용한 해양사고에 개입된 선원의 행동경로 추정

Yim, Jeong-Bin

  • Received : 2019.03.15
  • Accepted : 2019.04.02
  • Published : 2019.06.30


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.


Marine Accidents;Crew;Behavior Path;Hidden Markov Models;Summarized Verdict Report


Supported by : 한국해양대학교