Intelligent VTS

• Autorzy: Filipowicz, W.
• 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

• 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).