Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Study on Near-miss Incidents from Maritime Traffic Flow by Clustering Vessel Positions

선박위치 클러스터링을 활용한 해상교통 근접사고 산출에 관한 연구

  • Kim, Kwang-Il (Department of Maritime Transportation System, Mokpo National Maritime University) ;
  • Jeong, Jung Sik (Department of International Maritime Transportation Science, Mokpo National Maritime) ;
  • Park, Gyei-Kark (Department of International Maritime Transportation Science, Mokpo National Maritime)
  • 김광일 (목포해양대학교 해상운송시스템학과) ;
  • 정중식 (목포해양대학교 국제수송과학부) ;
  • 박계각 (목포해양대학교 국제수송과학부)
  • Received : 2014.09.14
  • Accepted : 2014.12.11
  • Published : 2014.12.25
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Abstract

In the maritime traffic environment, the near-miss between vessels is the situation approaching on collision course but collision accident is not occurred. In this study, in order to calculate the near-miss between navigating vessels, the discriminating equation using ship bumper theory and vessel position clustering methods are proposed. Applying proposed module to the vessel trajectories of the WANDO waterway, we assessment navigational risk factors of vessel type, navigational speed, meeting situation.

해상교통환경에서 선박간 근접사고(Near-miss)는 양 선박이 충돌 위험코스로 서로 근접하여 충돌에 임박한 상황으로 실제 충돌은 발생되지 않은 사고를 말한다. 본 연구에서는 통항 선박들간 근접사고 산출을 위해 선박 범퍼 영역모델을 활용한 근접사고 판별식과 선박 위치 클러스터링을 통해 해역의 근접사고 산출 모듈을 제안하고자 한다. 제안된 근접사고 산출 모듈을 완도해역 통항선박 항적데이터에 적용하여 선종, 항행속력 및 조우방향 등 선박 항해 위험 요인을 평가하고자 한다.

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References

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Cited by

  1. A Study on the Factor Analysis of the Encounter Data in the Maritime Traffic Environment vol.25, pp.3, 2015, https://doi.org/10.5391/JKIIS.2015.25.3.293