Enviaments recents

  • Explainability of deep reinforcement learning method with drones 

    Çetin, Ender; Barrado Muxí, Cristina; Pastor Llorens, Enric (2023)
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    Recent advances in artificial intelligence (AI) technology demonstrated that AI algorithms are very powerful as AI models become more complex. As a result, the users and also the engineers who developed the AI algorithms ...
  • Generation of RNP approach flight procedures with an RRT* path-planning algorithm 

    Sáez García, Raúl; Toratani, Daichi; Mori, Ryota; Prats Menéndez, Xavier (2023)
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    We present a framework capable of generating required navigation performance authorization required approach (RNP AR APCH) procedures by using a combination of the optimal version of the path-planning rapidly-exploring ...
  • An enriched finite elements approach for multi-phase microsystems 

    Narváez Muñoz, Christian; Hashemi, Mohammad Reza; Ryzhakov, Pavel; Pons Prats, Jordi; Martí, Julio Marcelo (2023)
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    Accés restringit per política de l'editorial
    This study presents an E-FEM/L-S approach for modeling fluid-fluid inter-face deformation in microsystems under electric fields. The approach treats the interface as a zero-thickness boundary and precisely models discontinuities ...
  • Would airspace users accept potential delays or reroutings for a discount in route charges? Results of a stated preferences survey 

    Melgosa Farrés, Marc; Kuljanin, Jovana; Jovanovic, Radosav; Fichert, Frank (2022)
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  • Pre-tactical prediction of atfm delay for individual flights 

    Mas Pujol, Sergi; De Falco, Paolino; Salamí San Juan, Esther; Delgado Muñoz, Luis (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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    Airlines develop an operation plan, during the day prior to operations (D-1), to identify potential network issues and prepare potential pre-tactical preventing measures such as aircraft tail swapping or crew reassignment ...
  • Dispatcher3 – Machine learning for efficient flight planning: approach and challenges for data-driven prototypes in air transport 

    Delgado Muñoz, Luis; Mas Pujol, Sergi; Skorobogatov, Georgy; Argerich, Clara; Gregori, Ernesto (2022)
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    Machine learning techniques to support decisionmaking processes are in trend. These are particularly relevant in the context of flight management where large datasets of planned and realised operations are available. ...
  • Effects of capacity sharing on delays and re-routings in European ATM 

    Künnen, Jan-Rasmus; Ivanov, Nikola; Jovanovic, Radosav; Fichert, Frank; Melgosa Farrés, Marc; Pavlovic, Goran (Single European Sky ATM Research (SESAR), 2022)
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    In this paper we analyse the effects of capacity sharing between Area Control Centres on delays and re-routings. We assume two different design options for capacity sharing (within Air Navigation Service Providers and ...
  • Data-driven estimation of flights’ hidden parameters 

    Vouros, George; Tranos, Theodore; Blekas, Konstantinos; Santipantakis, Georgios; Melgosa Farrés, Marc; Prats Menéndez, Xavier (Single European Sky ATM Research (SESAR), 2022)
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    This paper presents a data-driven methodology for the estimation of flights’ hidden parameters, combining mechanistic and AI/ML models. In the context of this methodology the paper studies several AI/ML methods and reports ...
  • In-flight cost index optimisation upon weather forecast updates 

    Prats Menéndez, Xavier; Torre Sangrà, David de la; Delgado Muñoz, Luis (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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    This paper presents an optimisation framework to compute the altitude and speed profiles of a trajectory in the execution phase of the flight, such that the expected total cost (ETC) of the operation is minimised (i.e. ...
  • Alternative 4D trajectories for the avoidance of weather- and contrail-sensitive volumes 

    Sáez García, Raúl; Cabrera Ramírez, Bryan Gustavo; Melgosa Farrés, Marc; Prats Menéndez, Xavier; Riccio, Angelo; Verbeek, René; van den Dungen, Nick (Single European Sky ATM Research (SESAR), 2022)
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    We present a framework to generate, in a multi-aircraft environment, 4D optimized trajectories in a scenario with several weather constraints obtained with advanced weather prediction models. We focus on the trajectory ...
  • Considering TMA holding uncertainty into in-flight trajectory optimisation 

    Delgado Muñoz, Luis; Torre Sangrà, David de la; Kuljanin, Jovana; Prats Menéndez, Xavier (2022)
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    Accés restringit per política de l'editorial
    Aircraft crew are aware of the delay they have experienced at departure. However, uncertainties ahead, and in particular holdings at arrival, can have an impact on the final performance of their operations. When optimising ...
  • URClearED – Defining the remain well clear concept for airspace D-G classes in the European airspace 

    Pastor Llorens, Enric; Peinecke, Niklas; Theunissen, Erik; Corraro, Federico; Shaw, Christopher; Taurino, Damiano; Hagstrom, Petra (American Institute of Aeronautics and Astronautics (AIAA), 2021)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Remotely Piloted Aircraft Systems (RPAS) are increasingly becoming a part of our day-to-day life, and the wide range of their possible applications is creating a new industry with a large economic potential that is pushing ...

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