Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Study on the Factor Analysis of the Encounter Data in the Maritime Traffic Environment

해상교통 조우데이터 요인분석에 관한 연구

  • Kim, Kwang-Il (Dep. of Maritime Transportation, Mokpo National Maritime University) ;
  • Jeong, Jung Sik (Dep. of International Maritime Transportation Science, Mokpo National Maritime University) ;
  • Park, Gyei-Kark (Dep. of International Maritime Transportation Science, Mokpo National Maritime University)
  • 김광일 (목포해양대학교 해상운송시스템학과) ;
  • 정중식 (목포해양대학교 국제해사수송과학부) ;
  • 박계각 (목포해양대학교 국제해사수송과학부)
  • Received : 2015.03.22
  • Accepted : 2015.05.26
  • Published : 2015.06.25
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Abstract

The vessel encounter data collected from the vessel trajectories in the maritime traffic situation is possible to analyze vessel collision and near-collision risk using statistical method. In this study, analyzing variables extracted from the vessel encounter data using factor analysis, we determine main factors effecting vessel collision risk from vessel encounter data. In order to calculate each factor, it used principal component analysis for factor analysis after normalization and standardization of vessel encounter variables. As a result of the factor analysis, main effect factors are summarized into the vessel approach factor and collision avoidance variance factor.

해상교통상황에서 수집된 선박 조우(Encounter) 데이터 변수는 선박 충돌 및 근접사고(Near-Collision) 위험도를 통계적인 방법에 의한 분석이 가능하다. 본 연구에서는 선박 조우 데이터에서 추출되는 다수의 선박충돌위험도 평가 변수들을 요인분석(Factor Analysis)하여, 선박 조우데이터에서 충돌위험에 영향을 미치는 주요 요인을 결정하고자 한다. 각 요인 결정을 위해 선박조우데이터 변수 정규분포화 및 표준화를 수행한 후 주성분 분석(Principal Component Analysis)으로 요인을 결정하였다. 요인분석결과 선박 근접도 요인과 충돌회피변화요인으로 요약하였다.

Keywords

References

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