Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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Study on the Estimation of Collision Risk of Ship in Ship Handling Simulator using Fuzzy Algorithm and Environmental Stress Model

시뮬레이터 기반 퍼지알고리즘과 환경스트레스모델을 이용한 선박 충돌위험도 추정에 관한 연구

  • Son, Nom-Sun (Maritime Safety & Pollution Control Division, MOERI/KORDI) ;
  • Kim, Sun-Young (Maritime Safety & Pollution Control Division, MOERI/KORDI) ;
  • Gong, In-Young (Maritime Safety & Pollution Control Division, MOERI/KORDI)
  • 손남선 (한국해양연구원 해양안전방재기술연구부) ;
  • 김선영 (한국해양연구원 해양안전방재기술연구부) ;
  • 공인영 (한국해양연구원 해양안전방재기술연구부)
  • Published : 2009.03.01
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Abstract

Recently, many maritime accidents have been increased and the collisions due to human error are given a great deal of proportions out of them We develop the Real-time Collision Risk Monitoring System (CRMS) for the navigational officers to cope with the emergency situation promptly and thus to reduce the probability of casualty. In this study, the risk of collision and grounding is evaluated by two kinds of method. The first method is based on Fuzzy algorithm, which evaluates the risk of collision between traffic ships. The second method is based on Environmental Stress (ES) Model, where the total risk of collision and grounding is evaluated by the environmental stress felt by human. The developed real-time CRMS has been installed to the ship handling simulator system and its capabilities have been tested through simulator experiments.

최근 해양사고가 날로 증가되고 있으며, 특히, 인적과실로 인한 충돌사고의 비중은 70%에 이르고 있다. 본 연구에서는 실시간 충돌 위험도 표시 시스템을 개발하였는데, 충돌위험도를 사전에 인지함으로써 비상상황에 효과적으로 대처하고, 인적과실로 인한 충돌위험도를 줄이고자 하였다. 충돌위험도 추정을 위해, 선박들 간에 충돌위험도를 평가하는 퍼지알고리즘을 이용한 방법과 항해사가 느끼는 환경스트레스를 이용하여 충돌위험도를 평가하는 방법의 두 가지를 비교 검토하였다. 실시간 충돌위험도 추정 알고리즘을 검증하기 위해 선박운항 시뮬레이터에 설치하고 다양한 시뮬레이션을 수행하였다.

Keywords

References

  1. 공인영(2002), "해양 위해도 기반 안전운한지원시스템 개발", 3차년도 보고서 (위해도 저감 핵심 기술 개발 과제)
  2. 공인영(2003), "해상교통 안전성 평가를 위한 환경 스트레스 모델의 특성 고착(I)". 한국항해항만학회 춘계학술대회 논문집, pp.479-486
  3. 이한진(1997), "유전자 알고리즘을 이용한 충돌 회피 시스템의 최적화", 박사학위논문, 서울대학교, pp.8-10
  4. Hara, K. and Hammer, A (1993), "A Safe Way of Collision A voidance Maneuver based on Maneuvering Standard using Fuzzy Reasoning Model", MARSIM '93
  5. Hasegawa, K., Kouzuk, A, Muramatsu, T, Komine, H., and Watabe, Y(1989), "Ship Auto-navigation Fuzzy Expert System (SAFES)", Journal of the Society of Naval Architecture of Japan, Vol. 166
  6. Imazu, H. and Koyama, T(1984), "The Determination of Collision Avoidance Action", Journal of Japan Institute of Navigation
  7. Inoue, K., Kubono, M., Miyasaka, M., and Hara, D.(1998a), "Modeling of Mariners' Perception of Safety when Being Faced with Imminent Danger (In Japanese)", Journal of Japan Institute of Navigation, pp. 235-245
  8. Inoue, K., Masua, K., and Jera, W.(1998b), "Guidelines to Assess the Safety of Marine Traffic-I (Evaluation of Ship-handling Difficulty based on the nvironmental Stress Mode]) (In Japanese)", Journal of Japan Institute of Navigation, pp. 225-234.
  9. Koyama, T and Yon, J,(1987), "An Expert System Approach to Collision Avoidance", 8th Ship Control System Symposium
  10. Son, N.S. and Kim, S. Y.(2003), "Design of User-friendly Voice Control and Guidance System for Safe Navigation", Proceeding of MARSIM'03, pp. RB-22-1- RB-22-6

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