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    Wyświetlanie 1-3 z 3
    Tytuł:
    Analysis of Graph Searching Algorithms for Route Planning in Inland Navigation
    Autorzy:
    Kazimierski, W.
    Sawczak, A.
    Wawrzyniak, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/117106.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Inland Navigation
    route planning
    Graph Searching Algorithms
    Inland Waters
    Nautical Spatial Data
    Raster Data
    vector data
    Dijkstra’s Algorithm
    Opis:
    Route planning is one of the core functionalities of modern navigational systems also in inland waters. There is a possibility of at least partial automation of this process with the use of graph searching algorithms. Main problem here is to create a graph based on nautical spatial data. The paper presents research on examining dif-ferent graph searching methods for inland waters. The concept of using combined approach for vector and ras-ter data is given, followed by research results for raster data.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 2; 281-286
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The concept of determining the ship’s route based on the capability plots
    Autorzy:
    Wnorowski, J.
    Łebkowski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201401.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    capability plots
    searching algorithms
    graph searching
    pathfinding
    Energy Efficiency
    dynamic positioning
    anchor-based positioning systems
    thrusters force allocation
    Opis:
    Every year, new vessels equipped with dynamic positioning (DP) systems are built in shipyards around the world. Due to the increasing number of offshore vessels, a client hiring a vessel should analyse the vessel's positioning capability charts to determine which water areas the vessel is designed for. These charts are represented as polar diagrams. In the centre of the chart is a shape symbolising the ship's body, and the values on the chart represent the maximum wind speed that can affect the ship at a given angle, at which the vessel will maintain its position. Vessel capability charts can also be used by the crew during thrusters failures to determine at what angle to the wind direction the vessel should stand to minimise the impact of wind forces. Analyses that determine a vessel's ability to keep position can be performed by classification societies or other companies with approval from classification societies. The article presents the concept of a pathfinding algorithm to determines the route of the ship’s passage with minimal energy consumption. The algorithm uses the information about environmental forces affecting the ship and information about thrust allocation obtained from Capability Plots.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 1; 193--197
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Verification of ships trajectory planning algorithms using real navigational data
    Autorzy:
    Lazarowska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/117103.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Visibility Graph-search Algorithm (VGA)
    Discrete Artificial Potential Field (DAPF)
    real navigational data
    ARPA
    ship's trajectory planning
    ship's trajectory planning algorithms
    Ant Colony Optimization (ACO)
    Trajectory Base Algorithm (TBA)
    Opis:
    The paper presents results of ship's safe trajectory planning algorithms verification. Real navigational data registered from a radar with an Automatic Radar Plotting Aid on board the research and training ship Horyzont II were used as input data to the algorithms. The algorithms verified in the presented research include the Ant Colony Optimization algorithm (ACO), the Trajectory Base Algorithm (TBA), the Visibility Graph-search Algorithm (VGA) ant the Discrete Artificial Potential Field algorithm (DAPF). Details concerning data registration and exemplary results obtained with the use or real navigational data are introduced and summarized in the paper. Presented results prove the applicability of proposed algorithms for solving the ship's safe trajectory planning problem.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 559-564
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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