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    Wyświetlanie 1-4 z 4
    Tytuł:
    Analysis of Methods of Determining the Safe Ship Trajectory
    Autorzy:
    Lisowski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/116647.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    ship route
    Safe Ship Trajectory
    route planning
    Determining the Safe Ship Trajectory
    ship trajectory
    Artificial Neural Network (ANN)
    game theory
    computer simulation
    Opis:
    The paper describes six methods of optimal and game theory and artificial neural network for synthesis of safe control in collision situations at sea. The application of optimal and game control algorithms to determine the own ship safe trajectory during the passing of other encountered ships in good and restricted visibility at sea is presented. The comparison of the safe ship control in collision situation: multi-step matrix non-cooperative and cooperative games, multi-stage positional non-cooperative and cooperative games have been introduced. The considerations have been illustrated with examples of computer simulation of the algorithms to determine safe of own ship trajectories in a navigational situation during passing of eight met ships.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 223-228
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Method of Safe Returning of the Vessel to Planned Route After Deviation from Collision
    Autorzy:
    Tsymbal, M.
    Urbansky, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/116001.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    anticollision
    Safe Returning
    Planned Route
    Course Deviation
    Collision Avoidance
    Risk of Collision
    mathematical model
    Ship's Trajectory
    Opis:
    Flexible strategies for collision avoidance, presented at TransNav 2007, were examined using computer program for its correctness in different situations of ships interaction. It was determined, that on short distance the risk of collision can arise again when the vessel returning to the planned route after deviation from collision. For controlling ship’s safe returning, the mathematical model was developed. This model describes the analytical dependence of the rate of changing relative course with respect to rates of turning of the vessels and its initial relative position. This method can be used in automatic systems for controlling the safe returning of the vessel to the planned route.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 1; 81-84
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Accuracy of Sea Ice Data from Remote Sensing Methods, its Impact on Safe Speed Determination and Planning of Voyage in Ice-Covered Areas
    Autorzy:
    Pastusiak, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/116005.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Ice-Covered Area
    Sea Ice Data
    Remote Sensing Method
    Safe Speed Determination
    Route Planning
    Voyage Planning
    Ice Navigation
    Polar Navigation
    Opis:
    The data related to ice floe concentration and ice thickness were analysed. Sources of data have been verified by visual observation and by comparison in between information from different remote sensing sources. The results of this work exceeded initial expectations. The discrepancies of the information provided by various data sources result from the error of the measurement method, which can be as high as 15% of the concentration of ice floes. It should also be borne in mind that the more generalized information about the state of the ice cover, the lower probability of detection of ice floe patches of a high concentration and spatial extent. Each vessel that is planning voyage in ice should take into consideration inaccurate estimation of concentration and thickness of ice floes received by means of satellite remote sensing methods. The method of determining permissible speed of various ice class vessel in ice on basis of safe speed graph for the icebreaker was developed. A well-defined equation approximates relationship between speed of the icebreaker and the vessels of specified ice classes. Average distance of 24.1 Nm from sea ice extent line was related to all analysed lines representing 30-40% ice floe concentration (IUP product excluded) and 30.6 Nm for analysed lines representing 70-81-91% ice floe concentration. The maximal average distance of the furthest analysed line (IUP product excluded) was equal 37.2 Nm. The average standard deviation of that results was equal 8.3 Nm only. Average distances of analysed lines from sea ice extent line to maximal ice data values were found as follow: 8.4 Nm (23%) for NSIDC-CCAR ice age, 12.3 Nm (33%) for minimal distance of 30-40% ice concentration, 15.4 Nm (41%) for OSISAF ice type “ambiguous” zone from Open Water side, 25 Nm (67%) for minimal distance of 70-81-91% ice concentration, 26.6 Nm (72%) for OSISAF ice type “ambiguous” zone from 1st year ice age side, 35.9 Nm (97%) for maximal distance of 30-40% ice concentration and 36.3 Nm (98%) for maximal distance of 70-81-91% ice concentration data. In the parentheses placed relative distances from first ice data including IUP 40% concentration isolines. Sea ice extent of most of available data sources delineated the edge of “area to be avoided” for vessels of ice class lower than L1. Estimated average speed of L3 ice class vessel was from 3.3 knots till 5.2 knots at average speed 5.0 knots. For L1 ice class vessel estimated average speed was from 6.5 knots till 12.1 knots at average speed 9.7 knots. Relative standard deviation of averaged speed for both ice class vessels was equal 18%. The highest relative deviations were found up to 50% below the average speed value. The highest relative deviations upward were equal 22%. Above speeds for L3 and L1 ice class vessels corresponded well with average technical speed of “Norilsk SA-15” ULA class vessel equal 12,6 knots. The results of the work were not intended to be used for decision making on spot - “on-scene” - during direct guiding vessel in ice. They should be useful for initial voyage planning to allow decision-makers to identify the best freely available data sources for considered voyage and vessel of defined ice class; to understand advantages and limitations of available in the internet data sources; to estimate vessel’s maximal safe speed in encountered ice conditions, to estimate spatial distribution and correlations in between various levels of sea ice concentration and thickness. All above data allow estimate voyage time that is, in addition to fuel consumption, basic criterion of maritime transport economics.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 229-248
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Maritime Situation Monitoring for Safe Navigation on Northern Sea Route
    Autorzy:
    Popovich, V.V.
    Smirnova, O.V.
    Popovich, T.V.
    Powiązania:
    https://bibliotekanauki.pl/articles/116586.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Northern Sea Route
    maritime situation monitoring
    safe navigation
    safety at sea
    Arctic shelf
    Arctic area
    polar navigation
    geographic information system (GIS)
    Opis:
    Considering growing intensity of navigation on Northern Sea Route and of continuous exploration and development of Arctic shelf, problems of maritime situation monitoring in Arctic become particularly important. Firstly, complex operational informational support of activities in Arctic is needed. Secondly, constant access to actual and valid information about hydro-meteorological, navigational and ice situations is required. Solution of stated problems entails integration, processing and analysis of large amounts of heterogeneous data. Consequently, development of unified system for situation monitoring and intellectual support is essential. Such system allows to execute operational monitoring of dangerous situations of different sort (natural or anthropogenic) that influence safety of objects in Arctic region, and to perform intellectual analysis of such situations and prompt provision of suitable recommendations.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 3; 433-440
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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