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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-42967649-525a-428b-a176-7909c619c06b

Czasopismo

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Tytuł artykułu

Intelligent VTS

Autorzy Filipowicz, W. 
Treść / Zawartość http://www.transnav.eu/
Warianty tytułu
Języki publikacji EN
Abstrakty
EN 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 oftime. Safety factors themselves are also fuzzy, imprecise values.
Słowa kluczowe
EN vessel traffic service (VTS)   Intelligent VTS   navigational situation assessment   marine traffic   monitoring station   restricted waters   safety factor   marine navigation  
Wydawca Faculty of Navigation, Gdynia Maritime University
Czasopismo TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Rocznik 2007
Tom Vol. 1, no. 2
Strony 153--159
Opis fizyczny Bibliogr. 6 poz., wykr.
Twórcy
autor Filipowicz, W.
  • Gdynia Maritime University, Poland
Bibliografia
1. Filipowicz W., Lacki M., Szlapczynska J., 2005. Multicriteria Decision Support For Vessels Routing, Proceedings of ESREL’2005.
2. Filipowicz W., (2006) "Routes Selection and Fuzziness", Advances in Transport Systems Telematics ed J. Mikulski, pp. 337-346.
3. Kaufmann A., Gupta M., 1991. Introduction to fuzzy arithmetic: theory and application Van Nostrand Reinhold, New York.
4. 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).
5. 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.
6. Szlapczynska J. (2005), „Extended fuzzy TOPSIS – cases of usage in navigation”, VI-th International Symposium on Navigation, Gdynia (polish version available).
Kolekcja BazTech
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