Ponències/Comunicacions de congressos

Enviaments recents

  • Insights of the citizens perception during a 3-days outdoors flight demonstration 

    Barrado Muxí, Cristina; Kuljanin, Jovana; Salamí San Juan, Esther; Pastor Llorens, Enric (University of Salford, 2024)
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    Citizens are getting used to seeing more and more drones flying in the sky, but this is still a sporadic situation and it is dif¿cult to experience it in urban environments. The reason is that in low-populated areas the ...

  • Measuring U-space social and environmental impact 

    Baena, Miguel; Kuljanin, Jovana; Legriffon, Ingrid; Ganic, Emir; Barrado Muxí, Cristina; Mocholí, David; Ruaud, Elise; Torre Sangrà, David de la (University of Salford, 2024)
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    U-space will enable urban air mobility (UAM) on a wide scale, facilitating a variety of use cases (e.g., medical and emergency transport, delivery of goods, passenger transport services). Social acceptance and impact on ...

  • Stakeholder engagement in disaster management: participatory design and co-creation within the PANTHEON project 

    Bittner, Simon; Grabmaier, Ilona; Kainz, Sarah; Shtefchyk, Kiril; Barrado Muxí, Cristina; Zamora Pérez, Daoíz; Bakunts, Satenik; Triantafyllou, Ioanna; Tsaloukidis, John; Petropoulos, Nick (Trauner Verlag, 2024)
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    This paper deals with participatory design and stakeholder engagement in Disaster Management (DM) and was conducted as part of the EU-funded project PANTHEON. The PANTHEON project aspires to build improved community disaster ...

  • Tactical departure scheduling for pop-up flights in Kansai International Airport 

    Sáez García, Raúl; Toratani, Daichi; Nakamura, Yoichi; Oka, Megumi (Springer, 2024)
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    The continuous increase of traffic demand has complicated greatly the task of air traffic controllers (ATCs), especially when managing inbound and outbound traffic flows in the vicinity of airports. Handling the flow of ...

  • Autonomous counter-drone: is reinforcement learning the solution ? 

    Barrado Muxí, Cristina (2022)
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    Unmanned aircraft are becoming available to most purchasers due to their decreasing costs and increasing functionalities. While this fact opens the opportunity to new business and services, it also represents a potential ...

  • 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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    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 ...

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