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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Evolutionary Sets of Cooperating Trajectories in Multi-Ship Encounter Situations - Use Cases
1 Gdańsk University of Technology, Gdańsk, Poland
ABSTRACT: The paper discusses the advantages of a new approach to solving ship encounter situations by combining some of the assumptions of game theory with evolutionary programming techniques. A multi-ship encounter is here modeled as a game played by ?thinking players? ? the ships of different and possibly changing strategies. The solution ? an optimal set of cooperating (non-colliding) trajectories is then found by means of evolutionary algorithms. The paper contains the results obtained for different cases of situations including open waters and restricted water regions and the discussion of these results. The already developed version of the method is fast enough to be applied in the real time on-board collision avoidance systems or VTS systems.
KEYWORDS: Colregs, Ship's Trajectory, Evolutionary Algorithms, Route Planning, Simulation, Multi-Ship Encounter Situation, Evolutionary Set
REFERENCES
Cockcroft A.N., Lameijer J.N.F 1993: A Guide to Collision Avoidance Rules, Butterworth-Heinemann Ltd.
Coldwell T.G. 1982. Marine Traffic Behaviour in restricted Waters, The Journal of Navigation vol. 36: pp. 431-444.
Lisowski J.2005 Dynamic games methods in navigator decision support system for safety navigation, Proceedings of the European Safety and Reliability Conference vol. 2, pp 1285 – 1292.
Szlapczynski R (in press). Evolutionary approach to solving multi-ship encounter situations, Polish Journal of Environmental Studies.
Śmierzchalski R. 1998 Synteza metod i algorytmów wspomagania decyzji nawigatora w sytuacji kolizyjnej na morzu. Prace Naukowe Wyższej Szkoły Morskiej w Gdyni.
Citation note:
Szłapczyński R.: Evolutionary Sets of Cooperating Trajectories in Multi-Ship Encounter Situations - Use Cases. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 4, No. 2, pp. 191-196, 2010
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