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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@am.gdynia.pl
Codifying Good Seamanship into Machine Executable Rules
1 Warsash Maritime Academy, Southampton, United Kingdom
ABSTRACT: Enabling unmanned surface vessels to comply with the collisions regulations is one of the most interesting challenges facing the shipping industry. The “Machine Executable Collision Regulations for Marine Autonomous Systems” (MAXCMAS project aims to develop a comprehensive capability and demonstrate satisfactory execution of marine ‘rules of the road’ by autonomous vessels. This is an Industry-academia Research and Technology (R&T) collaboration with Innovate UK part-funding including a contribution from the Defence Science and Technology Laboratory (Dstl). The project partners include Rolls-Royce, ATLAS ELEKTRONIC UK Ltd, Lloyd’s Register EMEA, Queen’s University of Belfast and Warsash Maritime Academy. This paper discusses how the regulations that have been written by humans for human consumption were portrayed to the researchers by the Master Mariner to enable the generation of intelligent MAXCMAS algorithms.
REFERENCES
Acar, U., Ziarati, R. and M. Ziarati, 2012. Collisions and groundings–major causes of accidents at sea. An investigation into COLREGs and their application at sea, pp.40-47.
Cahill, R. A. 2002. Collisions and their Causes. 3rd ed London. Nautical Institute. p 64.
Cockcroft, A.N. and J.N.F.Lameijer, 2011. A Guide to the Collision Avoidance Rules. Elsevier.
Knight, E. F. Handbook of Seamanship. 8th edition
Lee, G.W.U and C.J.Parker, 2007. Managing Collision Avoidance at Sea. Nautical Institute.
Morgans Technical Books Ltd. 2011. A Seaman’s Guide to the Rule Of The Road.
Rowe, R.W. 2007. The Shiphandler’s Guide. Nautical Institute.
http://www.iala-aism.org/wiki/iwrap/index.php/ Factors_Influencing_Causation_Probability Bayesian Networks for Collision Analysis
http://www.iala-aism.org/wiki/iwrap/index.php/ Causation_Probability_Modelling
Citation note:
Salter I.: Codifying Good Seamanship into Machine Executable Rules. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 12, No. 2, doi:10.12716/1001.12.02.14, pp. 329-334, 2018

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