Skip to content
Extra Form
Abstract Most marine accidents are caused by human error, such as navigators' immaturity or carelessness. In this study, we propose a guide system that presents an optimal route to avoid collision and information of collision risk to navigators for the safe and efficient operation. Firstly, the information of the own ship and other ships are obtained through Auto Identification System (AIS) data. The AIS data is provided in real-time through the National Marine Electronics Association (NMEA) protocol interface. Then, the collision risk of other ships are assessed using a method based on the closest point of approach (CPA) and a ship safety domain. As a result of using a combination of the CPA-based method and the ship safety domain, we represent a normalized collision risk that the navigator can recognize the risk intuitively. Finally, the optimal route to avoid the collision is generated based on the collision risk, by using various route optimization algorithms such as Dijkstra, A *, and isochrone algorithm. In particular, international regulations such as the International Regulations for Preventing Collisions at Sea (COLREGs) and ship's maneuverability were taken into account when generating a route for collision avoidance. The generated route and the collision risk information are visualized through the developed program. In order to verify the effectiveness of this study, we applied the suggested algorithms to various scenarios and compared them with the actual navigation data. As a result, we confirmed that the suggested route could effectively avoid collisions in a complex marine environment.

Keywords: Collision avoidance, Collision risk, AIS, COLREGs
Publication Date 2020-11-23

Jisang Ha, Myung-Il Roh, Hye-Won Lee, Jong-Ho Eun, Jong-Jin Park, Hyun-Joe Kim, "A Method of the Collision Avoidance of a Ship Using Real-time AIS Data", Proceedings of ACSMO(Asian Congress of Structural and Multidisciplinary Optimization) 2020, Seoul, Korea, pp.106, 2020.11.23-25


  1. No Image 11Jan
    by
    in Domestic Conference

    여인창, 노명일, 공민철, 유동훈, 진은석, "LIDAR를 이용한 선박의 위치 예측 알고리즘", 2024년도 한국CDE학회 동계학술발표회, 평창, p. 99, 2024.01.29-02.01

  2. No Image 11Jan
    by
    in Domestic Conference

    공민철, 노명일, 하지상, 한인수, 김미진, 김정연, "선박 내 배관의 자동 배치를 위한 P&ID의 그래프 변환 방법", 2024년도 한국CDE학회 동계학술발표회, 평창, p. 129, 2024.01.29-02.01

  3. No Image 29Dec
    by
    in Domestic Conference

    박동규, 노명일, 하지상, "무인 수상정의 개념 설계를 위한 주요 제원 최적화 방법", 2023년도 한국해군과학기술학회 동계학술발표회, 대전, pp. 110-141, 2023.12.07-08

  4. No Image 07Dec
    by
    in Invited Seminar

    Myung-Il Roh, "Core AI Technologies for Autonomous Ships", 2023 Annual Autumn Meeting, JASNAOE (Japan Society of Naval Architects and Ocean Engineers), Nagasaki, Japan, 2023.11.27-28

  5. No Image 22Nov
    by
    in Domestic Conference

    김정연, 노명일, 이현승, 이인석, 김미진, 신동규, 유한준, "도면 내 배관 시스템의 자동 매칭 알고리즘", 2023년도 대한조선학회 추계학술발표회, 울산, 2023.11.02

  6. No Image 09Nov
    by
    in Domestic Conference

    조영민, 노명일, 하지상, 김하연, 손남선, "무인선을 위한 카메라 및 레이더의 센서 융합 방법", 대한조선학회 추계학술발표회, 울산, pp. 225, 2023.11.02-03

  7. No Image 09Nov
    by
    in Domestic Conference

    전도현, 노명일, 이혜원, 유동훈, "복잡한 해상 상황에서의 강화 학습 기반 선박 충돌 회피 방법", 대한조선학회 추계학술발표회, 울산, pp. 453, 2023.11.02-03

  8. No Image 06Nov
    by
    in Domestic Conference

    한인수, 노명일, 공민철, 이정렬, 박서윤, "자연어 처리 기술을 활용한 선박 규정 검색 알고리즘", 대한조선학회 추계학술발표회, 울산, pp. 113, 2023.11.02-03

  9. No Image 06Nov
    by
    in Domestic Conference

    박동규, 노명일, 하지상, "최적화 기법을 활용한 무인 수상정의 초기 제원 결정", 2023년도 대한조선학회 추계학술발표회, 울산, pp. 111, 2023.11.02-03

  10. No Image 06Nov
    by
    in Domestic Conference

    김하연, 노명일, 조영민, 하지상, 손남선, "센서 데이터를 활용한 해상 장애물 추적 방법 및 실해역 적용 사례", 2023년도 대한조선학회 추계학술발표회, 울산, pp. 211, 2023.11.02-03

Board Pagination Prev 1 2 3 4 5 6 7 8 9 10 ... 51 Next
/ 51

Powered by Xpress Engine / Designed by Sketchbook

sketchbook5, 스케치북5

sketchbook5, 스케치북5

나눔글꼴 설치 안내


이 PC에는 나눔글꼴이 설치되어 있지 않습니다.

이 사이트를 나눔글꼴로 보기 위해서는
나눔글꼴을 설치해야 합니다.

설치 취소