DOI QR코드

DOI QR Code

Collision risk considering the international regulations for preventing collisions at sea, 1972

'72국제해상충돌방지규칙을 고려한 충돌위험도 결정 시스템

  • Kang, Il-Kwon (Division of Marine Production System management, Pukyong National University) ;
  • Kim, Hyung-Seok (Division of Marine Production System management, Pukyong National University) ;
  • Kim, Min-Seok (Training Vessel, Pukyong National University) ;
  • Kim, Jeong-Chang (Research Vessel, Pukyong National University) ;
  • Lee, A-Reum (Dept. of Fisheries Physics, Graduate School, Pukyong National University)
  • 강일권 (부경대학교 해양생산시스템관리학부) ;
  • 김형석 (부경대학교 해양생산시스템관리학부) ;
  • 김민석 (부경대학교 실습선) ;
  • 김정창 (부경대학교 탐사선) ;
  • 이아름 (부경대학교 대학원 수산물리학과)
  • Published : 2009.05.31

Abstract

For the safety and cost reduction in the navigation, the automatic and intelligent system has been developed for the vessel, and the most important factor in the system is to decide the collision risk exactly. In this paper, we propose an advanced collision risk decision system for collision avoidance of the system. The conventional researches using DCPA and TCPA for calculating the collision risk have a problem to produce a same collision risk regardless of bearings for the ships, if they are located in the same distance from own ship. To solve this problem, in addition to DCPA and TCPA, we introduce the factor of VCD(variation of compass degree) and constant, CR which derived from COLREG'72(International Regulation for Preventing Collision at Sea, 1972) for evaluating the collision risk including even the burden of own ship navigator due to the encountering angle of each vessels. We decided the collision risk legally by the rule considering the relative situation of vessels. And therefore, the proposed system has two advantages, of which one is to produce more detail collision risk and another is to reflect the real underway situation in conformity with the rule.

Keywords

References

  1. Kang, I.K., H.S. Kim, H.I. Shin, Y.W. Lee, J. C. Kim and H. J. Jo, 2007, Study on the casualties of fishing vessels in Korea. Bull, Korean Fish. Tech. Soc., 43(2), 149-159
  2. Jo, J.H, M.S. Ji and Y.K. Kim, 2005, An Route planning for the navigation system of autonomous vessel. International Journal of Fuzzy Logic and Intelligent Systems, 15(4), 418-424 https://doi.org/10.5391/JKIIS.2005.15.4.418
  3. Hasegawa, K., 1987. Automatic collision avoidance system for ship using fuzzy control. 8th ship control system symposium, Hague. 29-35
  4. Kim, E.K., I.K. Kang and Y.K. Kim, 2001. Collision risk decision system for collision avoidance. International Journal of Fuzzy Logic and Intelligent Systems, 11(6), 524-527
  5. Hammer, A. and K. Hara, 1990. Knowledge acquisition for collision avoidance maneuver by ship handling simulator. MARSIM & ICSA 90, 121-129
  6. Hara, K. and A. Hammer, 1993. A safe way of collision avoidance maneuver based on maneuvering standard using fuzzy reasoning model. MARSIM 93, St. John's, 78-87
  7. Imazu, H. and T. Koyama, 1984. The determination of collision avoidance action. The Journal of Japan Institute of Navigation, 31-37
  8. Imazu, H. and T. Koyama, 1984. The optimization of the criterion for collision avoidance action. The Journal of Japan Institute of Navigation, 123-131
  9. Yoon, J.D., 1996. International regulation for preventing collision at sea and it's explanation. Sejong Publication, 160-173
  10. Lee, K.H., 1997. Fuzzy theory and applications volume II, Hongreong Science Pub., Korea, pp. 5.25-27, 5.51-52, 5.70

Cited by

  1. Building an Algorithm for Compensating AIS Error Data vol.24, pp.3, 2014, https://doi.org/10.5391/JKIIS.2014.24.3.310
  2. Intelligent Navigation Information Fusion Using Fuzzy Expert System vol.15, pp.11, 2010, https://doi.org/10.9708/jksci.2010.15.11.047
  3. Intelligent Navigation Safety Information System using Blackboard vol.21, pp.3, 2011, https://doi.org/10.5391/JKIIS.2011.21.3.307