International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
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A method of inferring collision ratio based on maneuverability of own ship under critical collision conditions

  • You, Youngjun (Ship & Ocean R&D Institute, Daewoo Shipbuilding & Marine Engineering) ;
  • Rhee, Key-Pyo (Dept. of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Ahn, Kyoungsoo (Hyundai Maritime Research Institute, Hyundai Heavy Industries)
  • Published : 2013.06.30
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Abstract

In constructing a collision avoidance system, it is important to determine the time for starting collision avoidance maneuver. Many researchers have attempted to formulate various indices by applying a range of techniques. Among these indices, collision risk obtained by combining Distance to the Closest Point of Approach (DCPA) and Time to the Closest Point of Approach (TCPA) information with fuzzy theory is mostly used. However, the collision risk has a limit, in that membership functions of DCPA and TCPA are empirically determined. In addition, the collision risk is not able to consider several critical collision conditions where the target ship fails to take appropriate actions. It is therefore necessary to design a new concept based on logical approaches. In this paper, a collision ratio is proposed, which is the expected ratio of unavoidable paths to total paths under suitably characterized operation conditions. Total paths are determined by considering categories such as action space and methodology of avoidance. The International Regulations for Preventing Collisions at Sea (1972) and collision avoidance rules (2001) are considered to solve the slower ship's dilemma. Different methods which are based on a constant speed model and simulated speed model are used to calculate the relative positions between own ship and target ship. In the simulated speed model, fuzzy control is applied to determination of command rudder angle. At various encounter situations, the time histories of the collision ratio based on the simulated speed model are compared with those based on the constant speed model.

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References

  1. Cockcroft, A.N. and Lameijer, J.N.H., 2001. A guide to the collision avoidance rules. 6th ed. Elsevier.
  2. Fujii, Y. and Tanaka, K., 1971. Traffic capacity. Journal of Navigation, 24(4), pp.543-552. https://doi.org/10.1017/S0373463300022384
  3. Hasegawa, K. and Kouzuki, A., 1987. Automatic collision avoidance system for ships using fuzzy control. Journal of the Kansai Society of Naval Architects, 205, pp.1-10.
  4. Iwasaki, H. and Hara, K., 1986. A fuzzy reasoning model to decide the collision avoidance action (in Japanese). The Journal Japan institute of Navigation, 75, pp.69-77. https://doi.org/10.9749/jin.75.69
  5. Koyama, T. and Yan, J. 1987. An expert system approach to collision avoidance. Proceedings 8th Ship Control System Symposium. Hague, Netherlands 6-9 October 1987.
  6. Lee, H.J. and Rhee, K.P., 2001. Development of collision avoidance system by using expert system and search algorithm. International Shipbuilding Progress, 48(3), pp.197-212.
  7. Miloh, T., 1974. Determination of critical maneuvers for collision avoidance using the theory of differential games. Institut fur Schiffbau der Universitat Hamburg, Bericht, Nr.319.
  8. Miloh, T. and Sharma, S.D., 1975. Maritime collision avoidance as a differential game. Institut filr Schiffbau der Universitltt Hamburg, Bericht, Nr.329.
  9. Perera, L.P., Carvalho, J.P. and Guedes Soares, C., 2011. Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions. Journal of Marine Science and Technology, 16(1), pp.84-99. https://doi.org/10.1007/s00773-010-0106-x