지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.17 No.4
- 발행연도
- 2017.12
- 수록면
- 279 - 288 (10page)
- DOI
- 10.5391/IJFIS.2017.17.4.279
이용수
초록· 키워드
오류제보하기
A person who has responsible for ship’s safety, such as captain and Vessel Traffic Service Operator (VTSO), should make a decision to prevent the ship from colliding or other accident related on traffic situation. At this time, the positions of the own ship and the opponent ship are used for identification and prediction of the future situation, and the action is selected based on this information. Here, the person in charge predicts the position of itself and the opposing ship, and the calculated positions are called Dead Reckoning Position (DRP). In the existing DRP calculation, the position of the ship is predicted based on the current position, speed and course, so it cannot be applied in all navigation situations. For this reason, both the vessel and the VTS center utilize the navigation intentions of the two vessels related to the traffic situation for their own decision-making. In this study, we intend to predict the ship’s position based on the route extraction method proposed in the SVR seaway model. We predict the future speed, and propose a method of predicting the position applied to the SVR seaway model. For the verification of the proposed DRP calculation, a virtual path and ship’s trajectories which are similar to the actual navigation environment were constructed. As a result, comparison data between the existing DRP and proposed DRP are presented. And enhanced closest point of approach calculation results are presented for two approaching ships as a time series. We expect that the advanced DRP could be used for relevant tasks to ship’s mater and/or VTSO.
목차
Abstract
1. Introduction
2. SVR Seaway Model
3. Target Prediction Method
4. Simulation
5. Conclusion
References
참고문헌 (20)
참고문헌 신청
International Maritime Organization, Strategy for the Development and Implementation of e-Navigation, London: International Maritime Organozation, 2009.
T. Hong, “Development of a system for transmitting a navigator’s intention for safe navigation,” International Journal of Fuzzy Logic and Intelligent Systems, vol. 14, no. 2, pp. 130-135, 2014. http://dx.doi.org/10.5391/ijfis.2014.14.2.130
J. S. Jeong, K. I. Kim, and G. K. Park, “A quantitative collision probability analysis in port waterway,” Journal of Korean Institute of Intelligent Systems, vol. 22, no. 3, pp. 373-378, 2012. http://dx.doi.org/10.5391/jkiis.2012.22.3.373
K. I. Kim, J. S. Jeong, and G. K. Park, “Assessment of external force acting on ship using big data in maritime traffic,” Journal of Korean Institute of Intelligent Systems, vol. 23, no. 5, pp. 379-384, 2013. http://dx.doi.org/10.5391/jkiis.2013.23.5.379
International Maritime Organization, Resolution A.857 (20): Guidelines for Vessel Traffic Services. London: International Maritime Organization, 1997.
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UCI(KEPA) : I410-ECN-0101-2018-003-001712738