A Survey on Ship Collision Risk Evaluation

Recently, ship collision avoidance has become essential due to the emergence of special vessels like chemical tankers and VLCCs (very large crude carriers), etc. The information needed for safe navigation is obtained by combining electrical equipment with real-time visual information. However, misjudgements and human errors are the major cause of ship collisions according to research data. The decision support system of Collision avoidance is an advantageous facility to make up for this. Collision risk evaluation is one of the most important problems in collision avoidance decision supporting system. A review is presented of different approaches to evaluate the collision risk in maritime transportation. In such a context, the basic concepts and definitions of collision risk and their evaluation are described. The review focuses on three categories of numerical models of collision risk calculation: methods based on traffic flow theory, ship domain and methods based on dCPA and tCPA.

[1]  Zbigniew Pietrzykowski The Analysis of a Ship Fuzzy Domain in a Restricted Area , 2001 .

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

[3]  Jin Wang,et al.  A fuzzy-logic-based approach to qualitative safety modelling for marine systems , 2001, Reliab. Eng. Syst. Saf..

[4]  Zbigniew Michalewicz,et al.  Modeling of ship trajectory in collision situations by an evolutionary algorithm , 2000, IEEE Trans. Evol. Comput..

[5]  Elisabeth M. Goodwin,et al.  A Statistical Study of Ship Domains , 1973, Journal of Navigation.

[6]  P. V. Davis,et al.  A Computer Simulation of Marine Traffic Using Domains and Arenas , 1980, Journal of Navigation.

[7]  M. K. James Modelling the decision process in computer simulation of ship navigation , 1986 .

[8]  Wu Zhao-lin,et al.  Comments on Ship Domains , 1993, Journal of Navigation.

[9]  M. J. Barratt Encounter Rates in a Marine Traffic Separation Scheme , 1973 .

[10]  R. Szlapczynski,et al.  Evolutionary Sets of Safe Ship Trajectories Within Traffic Separation Schemes , 2012, Journal of Navigation.

[11]  Abaco Ltd RESEARCH OF MARINE ACCIDENTS THROUGH THE PRISM OF HUMAN FACTORS , 2013 .

[12]  Ning Wang,et al.  A Novel Analytical Framework for Dynamic Quaternion Ship Domains , 2012, Journal of Navigation.

[13]  Hayama Imazu,et al.  STUDY ON THE CRITICAL RANGE BY COURSE CHANGING MANOEUVER , 1990 .

[14]  Ashim Kumar Debnath,et al.  Modeling perceived collision risk in port water navigation , 2009 .

[15]  Rafal Szlapczynski,et al.  A Unified Measure Of Collision Risk Derived From The Concept Of A Ship Domain , 2006, Journal of Navigation.

[16]  A. N. Cockcroft The Estimation of Collision Risk for Marine Traffic , 1981 .

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

[18]  Jelenko Švetak Estimation of Ship Domain Zone , 2009 .

[19]  T. Coldwell Marine Traffic Behaviour in Restricted Waters , 1983, Journal of Navigation.

[20]  Pavao Komadina,et al.  Officers' subjective near miss notion in situations of collision avoidance at sea , 2012 .

[21]  Elisabeth M. Goodwin Marine Encounter Rates , 1978 .

[22]  Zheng Zhong Space collision risk and its model , 2001 .

[23]  Zbigniew Pietrzykowski,et al.  Ship's Fuzzy Domain – a Criterion for Navigational Safety in Narrow Fairways , 2008, Journal of Navigation.

[24]  Wu Zhao Time collision risk and its model , 2001 .

[25]  Yao Jie Fuzzy identification method for collision risk assessment of multi-ships encounter situation , 2002 .

[26]  Zu-wen Wang,et al.  A Unified Analytical Framework for Ship Domains , 2009, Journal of Navigation.

[27]  Hiroyuki Yamanouchi,et al.  THE DISTRIBUTION OF COLLISIONS IN JAPAN AND METHODS OF ESTIMATING COLLISION DAMAGE , 1973 .

[29]  Livij Jakomin,et al.  Model of Optimal Collision Avoidance Manoeuvre on the Basis of Electronic Data Collection , 2005 .

[30]  Yu-Hong Liu,et al.  A fuzzy-neural inference network for ship collision avoidance , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[31]  C. T. Stockel,et al.  A Computer Simulation of Multi-Ship Encounters , 1982, Journal of Navigation.

[32]  Zheng Dao Judge of criticality when watercraft encounters , 2002 .

[33]  Kazuhiko Hasegawa,et al.  Ship Auto-navigation Fuzzy Expert System (SAFES) , 1989 .