한국항해항만학회지 (Journal of Navigation and Port Research)

  • 제47권4호
  • /
  • Pages.212-219
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  • 2023
  • /
  • 1598-5725(pISSN)
  • /
  • 2093-8470(eISSN)
한국항해항만학회 (Korean Institute of Navigation and Port Research)
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관제 지원을 위한 선박 교통 혼잡 예측에 관한 연구

Research on Prediction of Maritime Traffic Congestion to Support VTSO

  • 오재용 (한국해양과학기술원 부설 선박해양플랜트연구소) ;
  • 김혜진 (한국해양과학기술원 부설 선박해양플랜트연구소)
  • Jae-Yong Oh (Korea Research Institute of Ships and Ocean Engineering) ;
  • Hye-Jin Kim (Korea Research Institute of Ships and Ocean Engineering)
  • 투고 : 2023.06.22
  • 심사 : 2023.08.16
  • 발행 : 2023.08.31
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초록

해상교통 관제구역은 항만 시설을 사용하기 위한 입·출항 선박, 연안 해역을 이동하는 선박 등이 서로 복잡하게 운항하는 교통 패턴을 가지고 있다. 이를 안전하고 효과적으로 관리하기 위해 해상교통관제센터(VTS)에서는 선박을 실시간 모니터링하며 관제 업무를 수행하고 있지만, 교통 혼잡 상황에서는 업무 로드의 증가로 인해 관제 공백이 발생하기도 한다. 이에 교통 혼잡도 및 혼잡 구역을 예측할 수 있다면 보다 효율적인 관제가 가능하지만 현재는 관제사의 경험에 전적으로 의존하고 있는 실정이다. 본 논문에서는 해상교통관제 관점에서 선박 교통 혼잡을 정의하였으며, 항적 데이터를 이용하여 교통 네트워크를 생성하고, 선박 교통 혼잡도 및 혼잡 구역을 예측하는 방법을 제안한다. 실험에서는 실해역 데이터(대산항 VTS)와 예측 결과를 비교 분석하였으며, 이를 통해 제안하는 방법이 관제 지원 도구로서 활용될 수 있는지 검토하였다.

Vessel Traffic Service (VTS) area presents a complex traffic pattern due to ships entering or leaving the port to utilize port facilities, as well as ships passing through the coastal area. To ensure safe and efficient management of maritime traffic, VTS operators continuously monitor and control vessels in real time. However, during periods of high traffic congestion, the workload of VTS operators increases, which can result in delayed or inadequate VTS services. Therefore, it would be beneficial to predict traffic congestion and congested areas to enable more efficient traffic control. Currently, such prediction relies on the experience of VTS operators. In this paper, we defined vessel traffic congestion from the perspective of a VTS operator. We proposed a method to generate traffic networks using historical navigational data and predict traffic congestion and congested areas. Experiments were performed to compare prediction results with real maritime data (Daesan port VTS) and examine whether the proposed method could support VTS operators.

키워드

과제정보

본 논문은 해양경찰청의 "해상교통정보 빅데이터 구축 및 안전예보 시스템 기술 개발(5/5)" 과제에 의해 수행되었습니다(PMS5570).

참고문헌

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