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    Wyświetlanie 1-4 z 4
    Tytuł:
    Neural model of the aircraft landing phase
    Neuronowy model fazy lądowania samolotu
    Autorzy:
    Stelmach, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/224181.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    ruch lotniczy
    ocena przebiegu lotu
    fazy lotu
    badania symulacyjne
    air traffic
    flight phase
    Opis:
    The article deals with mathematical modeling of the aircraft landing phase using artificial neural networks. The network was determined based on the data recorded by an aircraft's quick access recorder. Networks were developed for each flight under review, which resulted from the different durations of this flight phase. It presents the accuracy results of representation across a flight simulation network. It was analyzed how the structure of the neural network affects the quantitative and qualitative accuracy of the actual flight representation. The determined networks will provide a basis for working out a model, among others, for simulation tests of air traffic and flight evaluation. General conclusions about neural networks and basic ones regarding their practical use were formulated.
    W artykule przedstawiono modelowanie matematyczne fazy lądowania samolotu z zastosowaniem sztucznych sieci neuronowych. Wyznaczenia sieci dokonano w oparciu o dane zarejestrowane przez pokładowy rejestrator eksploatacyjny samolotu. Opracowano sieci dla każdego z rozpatrywanych lotów, co wynika z różnego czasu trwania tej fazy lotu. Zamieszczono wyniki dokładności odwzorowania przez sieć przebiegu lotu. Przeanalizowano wpływ struktury sieci neuronowej na ilościową i jakościową dokładność odwzorowania rzeczywistego lotu. Wyznaczone sieci będą stanowiły podstawę opracowania modelu do m.in. badań symulacyjnych ruchu lotniczego i oceny przebiegu lotu. Opracowano wnioski ogólne, dotyczące sieci neuronowych oraz zasadnicze - odnoszące się do problematyki ich praktycznego wykorzystania.
    Źródło:
    Archives of Transport; 2012, 24, 2; 249-258
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Information systems as a tool for supporting the management of aircraft flight safety
    Autorzy:
    Zieja, M.
    Smoliński, H.
    Gołda, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/224144.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    air traffic
    safety
    statistical analysis
    forecast
    ruch lotniczy
    bezpieczeństwo ruchu lotniczego
    analiza statystyczna
    prognoza
    Opis:
    The article discusses the issue of air traffic safety in the context of aircraft combat readiness. Implemented methodological approaches to ensure security of civil and military aviation depend on the achieved level of safety The article points out selected aspects of data analysis in the field of flight safety gathered in IT systems functioning in civil and military aviation supporting the management of flight safety. Selected aspects of data analysis with different tools influencing the safety of flights are presented. The article also points to the role of the inspection functions and supervision at the stage of execution of normative acts on safety and conduct of flights and the implementation of projects to ensure flight safety. The development of projects firstly preventing air accidents is mentioned as an important action to support flight safety. Increasing level of flight safety in civil and military aviation requires searching for methods to support decisions and actions. The main aim is to develop such methods to support decisions which minimize the risk of errors.
    Źródło:
    Archives of Transport; 2015, 36, 4; 67-76
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of air traffic in the context of the Covid-19 pandemic
    Autorzy:
    Borucka, Anna
    Parczewski, Rafał
    Kozłowski, Edward
    Świderski, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/2176134.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    air traffic
    Covid-19 pandemic
    passenger transport
    ruch lotniczy
    Covid-19 pandemia
    transport pasażerski
    Opis:
    The Covid-19 pandemic unexpectedly shook the entire global economy, causing it to destabilize over a long period of time. One of the sectors that was particularly hit hard was air traffic, and the changes that have taken place in it have been unmatched by any other crisis in history. The purpose of this article was to identify the time series describing the number of airline flights in Poland in the context of the Covid-19 pandemic. The article first presents selected statistics and indicators showing the situation of the global and domestic aviation market during the pandemic. Then, based on the data on the number of flights in Poland, the identification of the time series describing the number of flights by airlines was made. The discrete wavelet transformation (DWT) was used to determine the trend, while for periodicity verification, first statistical tests (Kruskal-Wallis test and Friedman test) and then spectral analysis were used. The confirmation of the existence of weekly seasonality allowed for the identification of the studied series as the sum of the previously determined trend and the seasonal component, as the mean value from the observations on a given day of the week. The proposed model was compared with the 7-order moving average model, as one of the most popular in the literature. As the obtained results showed, the model developed by the authors was better at identifying the studied series than the moving average. The errors were significantly lower, which made the presented solution more effective. This confirmed the validity of using wavelet analysis in the case of irregular behaviour of time series, and also showed that both spectral analysis and statistical tests (Kruskal-Walis and Fridman) proved successful in identifying the seasonal factor in the time series. The method used allowed for a satisfactory identification of the model for empirical data, however, it should be emphasized that the aviation services market is influenced by many variables and the forecasts and scenarios created should be updated and modified on an ongoing basis.
    Źródło:
    Archives of Transport; 2022, 64, 4; 45--57
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Conflict-free trajectory planning based on the model predictive control theory
    Autorzy:
    Han, Yun-xiang
    Huang, Xiao-qoing
    Powiązania:
    https://bibliotekanauki.pl/articles/223811.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    civil aviation
    air transportation
    aircraft
    air traffic control
    separation
    trajectories
    optimization
    model predictive control
    lotnictwo cywilne
    transport powietrzny
    samolot
    kontrola ruchu lotniczego
    separacja
    trajektorie
    optymalizacja
    sterowanie predykcyjne
    Opis:
    Model Predictive Control (MPC) is a model-based control method based on a receding horizon approach and online optimization. A key advantage of MPC is that it can accommodate constraints on the inputs and outputs. This paper proposes a max-plus general modeling framework adapted to the robust optimal control of air traffic flow in the airspace. It is shown that the problem can be posed as the control of queues with safety separation-dependent service rate. We extend MPC to a class of discrete-event system that can be described by models that are linear in the max-plus algebra with noise or modeling errors. Regarding the single aircraft as a batch, the relationships between input variables, state variables and output variable are established. We discuss some key properties of the system model and indicate how these properties can be used to analyze the behavior of air traffic flow. The model predictive control design problems are defined for this type of discrete event system to help prepare the airspace for various robust regulation needs and we give some extensions of the air traffic max-plus linear systems.
    Źródło:
    Archives of Transport; 2016, 37, 1; 77-85
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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