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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
Data Acquisition in a Manoeuver Auto-negotiation System
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: Typical approach to collision avoidance systems with artificial intelligence support is that such systems assume a central communication and management point (such as e.g. VTS station), usually located on shore. This approach is, however, not applicable in case of an open water encounter. Thus, recently a new approach towards collision avoidance has been proposed, assuming that all ships in the encounter, either restricted or open water, communicate with each other and negotiate their maneuvers, without involving any outer management or communication center. Usually the negotiation process is driven by the collision avoidance software and called auto-negotiation. This paper elaborates on data acquisition problem in case of the maneuver auto-negotiation. It focuses on ships' initialization in the system and data gathering.
KEYWORDS: Vessel Traffic Service (VTS), Negotiation, Collision Avoidance, Trajectory Planning, Manoeuvring, Trajectory Planning with Negotiation, Auto-Negotiation System, Data Acquisition
REFERENCES
Brcko T., Svetak J., Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System. Promet – Traffic & Transportation, Vol. 25, No. 6, str. 555-564, 2013.
Cheng, X., Liu, Z., Trajectory Optimization for Ship Navigation Safety Using Genetic Annealing Algorithm. ICNC 2007. Third International Conference on Natural Computation. vol. 4, str. 385 – 392, 2007.
COLREGS, Convention on the International Regulations for Preventing Collisions at Sea. International Maritime Organization, 1972 (with amendments on Dec 2009).
Hornauer S., Decentralised Collision Avoidance in a Semi-collaborative Multi-agent System. Multiagent System Technologies, Lecture Notes in Computer Science, Volume 8076, str. 412-415, Springer, 2013.
Hornauer S., Hahn A., Towards Marine Collision Avoidance Based on Automatic Route Exchange. Control Applications in Marine Systems, Volume 9, Part 1, str. 103-107, 2013.
Ito, M., Feifei Z., Yoshida, N., Collision avoidance control of ship with genetic algorithm. Proceedings of the 1999 IEEE International Conference on Control Applications, vol. 2, str. 1791 – 1796, 1999.
Lazarowska A., Decision support system for collision avoidance at sea. Polish Maritime Research. Volume 19, Issue Special, str. 19–24, De Gruyter, 2012.
Lenart A.S. 1982. Collision threat parameters for a new radar display and plot technique, The Journal of Navigation vol. 36: pp. 404-410.
Lisowski J., (1985). The analysis of differential game models of safe ship control process. Journal of Shanghai Maritime Institute, Volume 6, No 1, 25-38.
Pietrzykowski, Z. Magaj, J. Chomski, J., A navigational decision support system for sea-going ships. Pomiary, Automatyka, Kontrola, R. 55, nr 10, str. 860-863, Wydawnictwo PAK, 2009.
Statheros T., Howells G., McDonald Maier K., Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques. The Journal of Navigation, 61(01), str. 129-142, Cambridge University Press, 2008.
Smierzchalski, R., Evolutionary trajectory planning of ships in navigation traffic areas. Journal of Marine Science and Technology, vol. 4, Issue 1, str. 1–6, Springer, 1999.
Szlapczynska J.: Propozycja systemu auto-negocjacji manewrów statków korzystającego z metod optymalizacji wielokryterialnej oraz Matematycznej Teorii Ewidencji (in Polish), Logistyka vol. 6/2014, pp. 10375-10384, 2014.
Szlapczynski R., Szlapczynska J., On Evolutionary Computing in Multi-Ship Trajectory Planning. Applied Intelligence, Volume 37, Issue 2, str. 155-174, Springer, 2012.
Tam, C., Bucknall, R., Path-planning algorithm for ships in close-range encounters. Journal of Marine Science and Technology, vol. 15, Issue 4, str.395-407, Springer, 2010.
Tsou, M. C., Hsueh, C. K. The study of ship collision avoidance route planning by ant colony algorithm. Journal of Marine Science and Technology, 18(5), 746–756, Springer, 2010.
Zeng X., Evolution of the safe path for ship navigation. Applied Artificial Intelligence. 17, str. 87–104, Taylor & Francis, 2003.
Zak B., The problems of collision avoidance at sea in the formulation of complex motion principles, Int. J. Appl. Math. Comput. Sci., 2004, Vol. 14, No. 4, pp. 503–514.
WWW_AIS, http://www.aisreporter.com/?news=ais-vulnerabilities-subject-of-scientific-research, web page accessed on 2015.02.01, 2015.
Citation note:
Szłapczyńska J.: Data Acquisition in a Manoeuver Auto-negotiation System. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 9, No. 3, doi:10.12716/1001.09.03.06, pp. 343-348, 2015
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