Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
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
The Comparison of Safe Control Methods in Marine Navigation in Congested Waters
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The paper introduces comparison of five methods of safe ship control in collision situation: multi-stage positional non-cooperative and cooperative game, multi-step matrix game, dynamic and kinematics optimisation with neural constrains of state control process. The synthesis of computer navigator decision supporting algorithms with using dual linear programming and dynamic programming methods has been presented. The considerations have been illustrated an examples of a computer simulation the algorithms to determine the safe own ship's trajectory in situation of passing a many of the ships encountered at sea.
KEYWORDS: Marine Navigation, Collision Situation, Congested Waters, Safe Ship Control, Dynamic Programming Method, Linear Programming Method, Safe Own Ship's Trajectory, Decision Support Algorithm
REFERENCES
Baba, N. & Jain, L.C. 2001. Computational Intelligence in Games. New York: Physica-Verlag.
Cahill, R.A. 2002. Collisions and thair Causes. London: The Nautical Institute.
Cichuta, M. & Dalecki, M. 2000. Study of computer program determining safe ship’s game trajectory with consideration risk of collision. M.Sc. thesis, Gdynia Maritime Academy, (in Polish).
Engwerda, J.C. 2005. LQ Dynamic Optimization and Differen-tial Games. West Sussex: John Wiley and Sons.
Isaacs,. R. 1965. Differential games. New York: John Wiley and Sons.
Lavalle, S.M. 2006. Planning algorithm. New York: Camridge.
Lebkowski, A. 2001. Study and computer simulation of game positional control algorithm with consideration ship’s speed changes in Matlab. M.Sc. thesis, Gdynia Maritime Academy, (in Polish).
Levine, W.S. 1996. The Control Handbook. Florida: CRC Press.
Lisowski, J. 2006a. The dynamic game theory methods applied to ship control with minimum risk of collision. Risk Analy-sis V: Simulation and Hazard Mitigation. Southampton, Boston: WIT Press: 293-302.
Lisowski, J. 2006b. Game theory methods in control synthesis of marine moving objects – mathematical models and computer support algorithms. Proc. of the 10th IEEE Inter-national Conference on Methods and Models in Automa-tion and Robotics, Miedzyzdroje: 21-39.
Lisowski, J. 2007a. Intelligent safe ship control methods in col-lision avoidance. Proc. of European Control Conference, Kos: 1-6.
Lisowski, J. 2007c. Application of dynamic game and neural network in safe ship control. Polish Journal of Environ-mental Studies. Vol. 16: 114-120.
Lisowski, J. 2008a. Optimal and game ship control algorithms avoiding collisions at sea. Risk Analysis VI: Computer Simulation Risk Analysis and Hazard Mitigation. South-ampton, Boston: WIT Press: 1-10.
Lisowski, J. 2008b. Game and optimal safe ship control. Chap-ter in monograph Recent Advances in Control and Auto-mation. Warszawa: Exit: 302-312.
Lisowski, J. 2008c. Sensitivity of safe game ship control. Proc. of 16th IEEE Mediterranean Conference on Control and Automation, Corsica: 220-225.
Lisowski, J. & Mohamed-Seghir, M. 2008d. Safe ship control methods based on fuzzy set theory. Polish Journal of En-vironmental Studies. Vol. 17, No 3C: 55-58.
Nisan, N., Roughgarden, T., Tardos, E. & Vazirani, V.V. 2007. Algorithmic Game Theory. New York: Cambridge Universi-ty Press: 717-733.
Nise, N.S. 2008. Control systems engineering. New York: John Wiley & Sons.
Nowak, A.S. & Szajowski, K. 2005 Advances in Dynamic Games – Applications to Economics, Finance, Optimiza-tion and Stochastic Control. Boston, Basel, Berlin: Birk-hauser.
Osborne, M.J, 2004. An Introduction to Game Theory. New York: Oxford University Press.
Pachciarek, A. 2007. Comparative analysis of safe ship trajec-tory determining on computer simulation. B.Sc. thesis, Gdynia Maritime University, (in Polish).
Radzik, T. 2000. Characterization of optimal strategies in ma-trix games with convexity properties. International Journal of Game Theory. Vol. 29: 211-228.
Sandom, C. & Harvey, R.S. 2004. Human factors for engi-neers. London: The Institution of Electrical Engineers.
Segal, A. & Miloh, T. 1998. A new three dimensional differen-tial game of pursuit and evasion. Proc. of the 8th Interna-tional Symposium on Dynamic Games and Applications. Maastricht.
Skogestad, S. & Postlethwaite, I. 2005. Multivariable feedback control. New York: John Wiley & Sons.
Straffin, P.D. 2001. Game Theory and Strategy. Warszawa: Scholar (in Polish).
Citation note:
Lisowski J.: The Comparison of Safe Control Methods in Marine Navigation in Congested Waters. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 3, No. 2, pp. 163-172, 2009
Authors in other databases: