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    Wyświetlanie 1-5 z 5
    Tytuł:
    Tools for optimizing performance of VOYages at sea
    Autorzy:
    Johannessen, J. A.
    Perrin, A.
    Gaultier, L.
    Herlédan, S.
    Pouplin, C.
    Collard, F.
    Maze, J. P.
    Dussauze, M.
    Rapp, J.
    Fanebust, R.
    Andersen, S.
    Franks, O.
    Meyer, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/1841544.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    voyage at sea
    Copernicus Marine Environment Monitoring Service
    optimization tool
    synthetic aperture radar
    finite-size lyapunov exponent
    route optimization
    sea surface temperature
    route optimization algorithm
    Opis:
    The aim of the TOPVOYS project supported by the MarTERA ERA-Net Cofund program within the European Commission is to advance and implement analyses tools and decision support system for voyage optimisation. Based on marine weather analyses and forecasts combined with near real time satellite-based observations of wind, wave and surface current conditions as well as sea surface temperature fields the best shipping route are examined. The proposed approach aims to identify the optimum balance between minimisation of transit time and fuel consumption as well as reduction of emissions without placing the vessel at risk to damage and or crew injury. As such it is compliant with the International Maritime Organization guidelines [6] for ship routeing to keep the traffic smooth and avoid accidents, notably in the presence of unfavorable marine meteorological conditions. The tool performances will be demonstrated both in post-voyage analyses and real time operations for the North Atlantic Ocean crossings, voyages from Europe through the Mediterranean Sea and the Suez Channel to the Far East (e.g. China, South Korea) and voyages around Southern Africa.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 1; 233-239
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ship Trajectory Control Optimization in Anti-collision Maneuvering
    Autorzy:
    Zhang, J. F.
    Yang, X. D.
    Zhang, D.
    Haugen, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/116373.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    anticollision
    ship trajectory
    genetic algorithm
    route optimization
    Opis:
    A lot of attention is being paid to ship’s intelligent anti‐collision by researchers. Several solutions have been introduced to find an optimum trajectory for ship, such as Game Theory, Genetic or Evolutionary Algorithms and so on. However, ship’s maneuverability should be taken into consideration before their real applications. Ship’s trajectory control in anti‐collision maneuvering is studied in this paper. At first, a simple linear ship maneuverability model is introduced to simulate its movement under different speed and rudder angle. After that, ship’s trajectory control is studied by considering the duration of rudder, operation distance to turning points, and maximum angular velocity. The details for algorithm design are also introduced. By giving some restrictions according to the requirements from COLREGs, the intervals for rudder angle in different circumstances can be determined based on the curves. The results can give very meaningful guidance for seafarers when making decisions.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 1; 89-93
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-Objective Optimization of Motor Vessel Route
    Autorzy:
    Marie, S.
    Courteille, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/117604.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    route planning
    Optimization of Vessel Route
    multi-objective optimization
    Motor Vessel
    Optimal Route
    Multi-Objective Genetic Algorithm (MOGA)
    Bézier Curve
    MATLAB
    Opis:
    This paper presents an original method that allows computation of the optimal route of a motor vessel by minimizing its fuel consumption. The proposed method is based on a new and efficient meshing procedure that is used to define a set of possible routes. A consumption prediction tool has been developed in order to estimate the fuel consumption along a given trajectory. The consumption model involves the effects of the meteorological conditions, the shape of the hull and the power train characteristics. Pareto-optimization with a Multi-Objective Genetic Algorithm (MOGA) is taken as a framework for the definition and the solution of the multi-objective optimization problem addressed. The final goal of this study is to provide a decision helping tool giving the route that minimizes the fuel consumption in a limited or optimum time.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 2; 133-141
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Generalized route planning approach for hazardous materials transportation with equity consideration
    Autorzy:
    Chai, H.
    He, R.-C.
    Jia, X.-yan
    Ma, Ch.-x
    Dai, C.-jie
    Powiązania:
    https://bibliotekanauki.pl/articles/223759.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    hazardous materials transportation
    transportation
    route optimization
    risk equity
    multi-objective optimization
    NSGA-II algorithm
    genetic algorithm
    transport materiałów niebezpiecznych
    materiały niebezpieczne
    optymalizacja trasy
    kapitał własny
    optymalizacja wielokryterialna
    algorytm NSGA-II
    algorytm genetyczny
    Opis:
    Hazardous materials transportation should consider risk equity and transportation risk and cost. In the hazardous materials transportation process, we consider risk equity as an important condition in optimizing vehicle routing for the long-term transport of hazardous materials between single or multiple origin-destination pairs (O-D) to reduce the distribution difference of hazardous materials transportation risk over populated areas. First, a risk equity evaluation scheme is proposed to reflect the risk difference among the areas. The evaluation scheme uses standard deviation to measure the risk differences among populated areas. Second, a risk distribution equity model is proposed to decrease the risk difference among populated areas by adjusting the path frequency between O-D pairs for hazardous materials transportation. The model is converted into two sub models to facilitate decision-making, and an algorithm is provided for each sub model. Finally, we design a numerical example to verify the accuracy and rationality of the model and algorithm. The numerical example shows that the proposed model is essential and feasible for reducing the complexity and increasing the portability of the transportation process.
    Źródło:
    Archives of Transport; 2018, 46, 2; 33-46
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-criteria ACO-based algorithm for ship’s trajectory planning
    Autorzy:
    Lazarowska, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/116548.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    colregs
    ships manoeuvering
    Ant Colony Optimization (ACO)
    ship’s trajectory planning
    route planning
    multi-criteria ACO-based algorithm
    guidance
    navigation and control (GNC)
    ARPA
    Opis:
    The paper presents a new approach for solving a path planning problem for ships in the environment with static and dynamic obstacles. The algorithm utilizes a heuristic method, classified to the group of Swarm Intelligence approaches, called the Ant Colony Optimization. The method is inspired by a collective behaviour of ant colonies. A group of agents - artificial ants searches through the solution space in order to find a safe, optimal trajectory for a ship. The problem is considered as a multi-criteria optimization task. The criteria taken into account during problem solving are: path safety, path length, the International Regulations for Preventing Collisions at Sea (COLREGs) compliance and path smoothness. The paper includes the description of the new multi-criteria ACO-based algorithm along with the presentation and discussion of simulation tests results.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 1; 31-36
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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