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2024 Journal Impact Factor - 0.6
2024 CiteScore - 1.9
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
			Intelligent VTS
							
							
								1 Gdynia Maritime University, Gdynia, Poland
							
							
							ABSTRACT: In this paper the author depicts new approach involving fuzziness in navigational situation assessment. Nowadays operator at maritime traffic monitoring station is assumed to have access to a great amount of data. The data comes from different places and multiple of sensors. Properly associated data enable the operator to approximate congestion for each restricted and considered as vital regions. Ship's presence function within a confined area defines a non-empty bounded closed interval. It can be denoted by the earliest and latest bounds of the closed time interval at a given possibility level. To assess situation within any confined region one should calculate maximal sum of safety factors present within forecast imprecise slots of time. Safety factors themselves are also fuzzy, imprecise values.
							KEYWORDS: Marine Navigation, Vessel Traffic Service (VTS), Intelligent VTS, Navigational Situation Assessment, Monitoring Station, Safety Factor, Marine Traffic, Restricted Waters 
							REFERENCES
							Filipowicz W., Lacki M., Szlapczynska J., 2005. Multicriteria Decision Support For Vessels Routing, Proceedings of ESREL’2005.
								Filipowicz W., (2006) Routes Selection and Fuzziness, Advances in Transport Systems Telematics ed J. Mikulski, pp. 337-346.
								Kaufmann A., Gupta M., 1991. Introduction to fuzzy arithmetic: theory and application Van Nostrand Reinhold, New York.
								Linn R.J., Hall D.L., A Survey of Multi-sensor Data Fusion Systems. Proceedings of the SPIE - The International Society for Optical Engineering. 1-2 April 1991: Orlando, FL. SPIE, 1991. Vol. 1470: (13-29).
								Sarma V.S., Raju S., 1991. Multisensor Data Fusion and Decision Support for Airborne Target Identification, IEEE Transactions on Systems, Man and Cybernetics. Sept.-Oct.: pp. 1224-1230.
								Szlapczynska J. (2005), Extended fuzzy TOPSIS – cases of usage in navigation, VI-th International Symposium on Navigation, Gdynia (polish version available).
							Citation note:
							Filipowicz W.: Intelligent VTS. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 1, No. 2, pp. 153-159, 2007
			
							
							
							Authors in other databases:
								Włodzimierz Filipowicz:
								
								
orcid.org/0000-0002-9713-8780
								
7005107466
								
							
							
							
orcid.org/0000-0002-9713-8780
								
7005107466