Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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Research on the Analysis of Maritime Traffic Pattern using Centroid Method

중심점 기법을 이용한 통항패턴 분석에 관한 연구

  • Kim, Hye-Jin (Maritime Safety Environmental Research Division, Korea Research Institute of Ships and Ocean Engineering) ;
  • Oh, Jae-Yong (Maritime Safety Environmental Research Division, Korea Research Institute of Ships and Ocean Engineering)
  • 김혜진 (선박해양플랜트연구소 해양안전환경연구본부) ;
  • 오재용 (선박해양플랜트연구소 해양안전환경연구본부)
  • Received : 2018.09.27
  • Accepted : 2018.10.17
  • Published : 2018.12.31
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Abstract

The analysis of maritime traffic refers to the processes that are used to analyze the environmental characteristics of the target area and, based on this analysis, predict the traffic pattern of the vessels. In recent years, maritime traffic analysis has become significant with increase maritime traffic volume and expansion of VTS coverage area. In addition, maritime traffic analysis is also applicable in the safety assessment of port facilities and the VTS (Vessel Traffic Service). In this paper, we propose a method to analyze the vessels' traffic pattern by using the heat map and the centroid method. This method is efficient for the analysis of the vessel trajectory data where spatial characteristics change with time. In the experiments, the traffic density and centroid by time have were analyzed. Trajectory data collected at Mokpo harbor was adopted. Finally, we reviewed the experimental results to verify the feasibility of the proposed method as a maritime traffic analysis method.

해상교통 분석은 대상 해역의 환경 특성을 파악하고, 선박의 교통 패턴을 분석하는 일련의 과정을 일컫는다. 이는 최근 해상 교통량이 늘어나고 관제 영역이 확장됨에 따라 그 필요성이 증가하고 있으며, 실제로 해상교통관제(VTS, Vessel Traffic Service)와 항만 시설의 안전성 평가에 적용되기도 한다. 본 논문에서는 공간정보 분석 방법 중 히트맵(heatmap)과 중심점(centroid) 기법을 이용하여 선박의 통항패턴을 분석하는 방법을 제안한다. 이 방법은 시간에 따라 공간적 특성이 변하는 항적 데이터를 분석하기에 적합한 방법이며, 실제 목포항에서 수집된 항적 데이터를 이용한 실험을 수행하였다. 실험에서는 시간대별 교통 밀도와 중심점 분석을 수행하였고, 이를 통해 해상교통의 공간적 변화를 쉽게 식별할 수 있었으며, 제안하는 방법이 해상교통 분석법으로 활용될 수 있음을 확인하였다.

Keywords

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Fig. 1 Maritime risk analysis using IWRAP(IALA)

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Fig. 2 Example of heatmap using floating population data

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Fig. 3 Example of population centroid analysis in seoul metropolitan area

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Fig. 4 Experimental coverage area in Mokpo harbor

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Fig. 5 Results of traffic density analysis; (a) variation of traffic density in time, (b)heatmap of T2, (c) heatmap of T3

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Fig. 6 Result of centroid analysis; (a) centroid of traffic density, (b) distribution of traffic density

Table 1 Time index of experiment

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Table 2 Items of experiment

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Table 3 Details of traffic density centroid

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