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Annual of Navigation

The Journal of Polish Navigational Forum

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On the Monitoring System of Collision Risks Among Multiple Ships

Nam-Sun Son
  • Kordi, Republic of Korea
/ Sun-Yonug Kim
  • Kordi, Republic of Korea
/ Chan-Soo Lee
  • Kordi, Republic of Korea
Published Online: 2013-07-27 | DOI: https://doi.org/10.2478/v10367-012-0012-x


To reduce crewmembers’ error and increase the safety of ships’ navigation, a recognition system of collision risks among multiple ships is newly-developed. By using ships’ navigational information such as AIS data, an algorithm to calculate collision risks among multiple ships is newly-designed. Collision risks of multiple ships can be estimated considering ships’ position and course of now and future by using fuzzy algorithm. To evaluate the performance of new system, replay simulation is carried out by using actual AIS data of actual collision accident in Korea. In this paper, main features of the monitoring system of collision risks and the results of replay simulation are discussed.

Keywords: collision risk among multiple ships

  • [1] Gong I. Y. et al., The Development of a Supporting System for Safe Navigation on a basis of a risk, 3rd Research Report (Development of a core technology for a risk reduction), 2002.

  • [2] Gong I. Y., A Review on the Characteristics of Environmental Stress Model for Maritime Traffic Safety Assessment, Journal of Korean Navigation and Port Research, 2003.

  • [3] Hara K. et al., A Safe Way of Collision Avoidance Maneuver based on Maneuvering Standard using Fuzzy Reasoning Model, Proceedings of MARSIM ‘93, 1993.

  • [4] Hasegawa K. et al., Ship Auto-navigation Fuzzy Expert System (SAFES), Journal of the Society of Naval Architecture of Japan, 1989, Vol. 166.

  • [5] Imazu H., Koyama T., The Determination of Collision Avoidance Action, Journal of Japan Institute of Navigation, 1984, Vol. 70.

  • [6] Inoue K. et al., Modeling of Mariners’ Perception of Safety when Being Faced with Imminent Danger, Journal of Japan Institute of Navigation, 1998.

  • [7] Kao S. L. et al., A Fuzzy Logic Method for Collision Avoidance in Vessel Traffic Service, The Journal of Navigation, 2007, Vol. 60.

  • [8] Kijima K., Furukawa Y., Automatic Collision Avoidance System Using the Concept of Blocking Area, Proceeding of MCMC ‘03, 2003.

  • [9] Kijima K., Furukawa Y., Design of Automatic Collision Avoidance System using Fuzzy Inference, Proceeding of CAMS ‘01, 2001.

  • [10] Lee H. J., Rhee K. P., Development of Collision Avoidance System by using Expert System and Search Algorithm, Journal of International Shipbuilding Progress, 2001, Vol. 48, No. 3.

  • [11] Son N. S., Gong I. Y., Kim S. Y., Development of Collision and Grounding Risk Monitoring System of a Ship by using Fuzzy Algorithm and Environmental Stress Model, Proceedings of MARSIM ‘06, 2006.

  • [12] Son N. S., Gong I. Y., KIM S. Y., Study on the Estimation of Collision Risk of Ship in Ship Handling Simulator using Fuzzy Algorithm and Environmental Stress Model. Journal of Navigation and Port Research, 2009, Vol. 33, No. 1.

  • [13] Son N. S., Kim S. Y., Validation on the Algorithm of Estimation of Collision Risk among Ships based on AIS Data of Actual Ships’ Collision Accident, Journal of Navigation and Port Research, 2010, Vol. 34, No. 10.

  • [14] Son N. S., Kim S. Y., Oh J. Y., Study on an algorithm for the estimation of collision risk among ships by using AIS database, Proceedings of ACMSSR 2009.

  • [15] Szlapczynski R., A Unified Measure Of Collision Risk Derived From The Concept of a Ship Domain, The Journal of Navigation, 2006, Vol. 59.

  • [16] The causes of maritime accidents according to the kind of accident (in Korean), http://www.kmst.go.kr/statistics/statisticsLatest.asp.

  • [17] Wilson P. A., Harris C. J., A Line of Sight Counteraction Navigation Algorithm for Ship Encounter Collision Avoidance, The Journal of Navigation, 2006, Vol. 56.

About the article

Published Online: 2013-07-27

Published in Print: 2012-11-01

Citation Information: Annual of Navigation, ISSN (Online) 1640-8632, DOI: https://doi.org/10.2478/v10367-012-0012-x. Export Citation

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