The ship maneuverability based collision avoidance dynamic support system in close-quarters situation

Abstract In this article, a ship maneuverability based collision avoidance dynamic support system in close-quarters situation is presented. The dynamic calculation model of collision avoidance parameter is employed to calculate the dynamic DCPA and TCPA in real-time when ship is maneuvering. Then the collision avoidance dynamic support system is developed by combining the mathematical model of ship maneuvering motion, the control mechanism of ship maneuvering motion and the dynamic calculation model of collision avoidance parameter. Following this approach, the proposed system is able to eliminate the insufficiency of neglect of ship maneuverability in the process of avoiding collision. Moreover, by incorporating the close-quarters situation into the proposed collision avoidance dynamic support system, simulation examples consisting three encounter scenarios of two ships in close-quarters situation are applied to demonstrate the significance and necessity of ship maneuverability in the process of collision avoidance and illustrate the merits and effectiveness of the proposed system. The simulation results show that the proposed dynamic support system is a reasonable, effective and practicable system for collision avoidance, particularly in close-quarters situation.

[1]  Floris Goerlandt,et al.  On the Reliability and Validity of Ship–Ship Collision Risk Analysis in Light of Different Perspectives on Risk , 2014 .

[2]  C. Su,et al.  Decision Support from Genetic Algorithms for Ship Collision Avoidance Route Planning and Alerts , 2010 .

[3]  Richard Bucknall,et al.  Collision risk assessment for ships , 2010 .

[4]  Minh-Duc Le,et al.  Study on a new and effective fuzzy PID ship autopilot , 2004, Artificial Life and Robotics.

[5]  A. N. Cockcroft,et al.  A guide to the collision avoidance rules: International Regulations for Preventing Collisions at Sea 1972, in force 1977 , 1976 .

[6]  Jakub Montewka,et al.  A framework for risk analysis of maritime transportation systems: A case study for oil spill from tankers in a ship–ship collision , 2015 .

[7]  Richard Bucknall,et al.  Path-planning algorithm for ships in close-range encounters , 2010 .

[8]  C. Tam,et al.  Review of Collision Avoidance and Path Planning Methods for Ships in Close Range Encounters , 2009, Journal of Navigation.

[9]  R. A. Cahill The Avoidance of Close Quarters in Clear Weather , 1982 .

[10]  Junsheng Ren,et al.  Adaptive fuzzy robust tracking controller design via small gain approach and its application , 2003, IEEE Trans. Fuzzy Syst..

[11]  Yang Yan Robust PID autopilot for ships , 1999 .

[12]  Jinxian Weng,et al.  Development of a quantitative risk assessment model for ship collisions in fairways , 2017 .

[13]  Helmut Hilgert,et al.  Defining the Close-Quarters Situation at Sea , 1983, Journal of Navigation.

[14]  David Clelland,et al.  Automatic simulation of ship navigation , 2011 .

[15]  Kensaku Nomoto,et al.  Modeling of Manoeuvring Behaviour of Ships with a Propeller Idling, Boosting and Reversing , 1978 .

[16]  Jakub Montewka,et al.  A Risk-Informed Ship Collision Alert System: Framework and Application , 2015 .

[17]  Bo Li,et al.  An approach of vessel collision risk assessment based on the D–S evidence theory , 2013 .

[18]  Cheng-Neng Hwang,et al.  The Integrated Design of Fuzzy Collision-Avoidance and H∞-Autopilots on Ships , 2002, Journal of Navigation.

[19]  Richard Bucknall,et al.  Cooperative path planning algorithm for marine surface vessels , 2013 .

[20]  Xinping Yan,et al.  A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs , 2015 .

[21]  Eliopoulou Eleftheria,et al.  Statistical Analysis of Ship Accidents and Review of Safety Level , 2016 .

[22]  Key-Pyo Rhee,et al.  A study on the collision avoidance of a ship using neural networks and fuzzy logic , 2012 .

[23]  C. Guedes Soares,et al.  Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions , 2011 .