Now showing items 1-12 of 351

    • Machine-learning methods estimating flights’ hidden parameters for the prediction of KPIs 

      Vouros, George; Ioannidis, Ioannis; Santipantakis, Georgios; Tranos, Theodore; Blekas, Konstantinos; Melgosa Farrés, Marc; Prats Menéndez, Xavier (Multidisciplinary Digital Publishing Institute (MDPI), 2024-11-12)
      Article
      Open Access
      Complex microscopic simulation models of strategic Air Traffic Management (ATM) performance assessment and decision-making are hindered by several factors. One of the most important is the existence of hidden parameters—such ...
    • Assessing advanced propulsion systems using the impact monitor framework 

      Gupta, Utkarsh; Riaz, Atif; Brenner, Felix; Lefebvre, Thierry; Ratei, Patrick; Alder, Marko; Prakasha, Prajwal Shiva; Weber, Lukas; Pons Prats, Jordi; Markatos, Dyonisios (Multidisciplinary Digital Publishing Institute (MDPI), 2025-03-28)
      Article
      Open Access
      Presented in this paper is the Impact Monitor framework and interactive Dashboard Application (DA) validated through a use case, focusing on investigating the viability and competitiveness of future propulsion architectures ...
    • SESAR 3 ER 2 STEPLESS D3.1 - ATM Validation Plan 

      Sáez García, Raúl; Pitarque Labòria, Ramon Pere (2025-01-15)
      Research report
      Restricted access - publisher's policy
      D3.1 "ATM Validation Plan" defines the framework for validating the STEPLESS solution from an ATM perspective. It defines structured procedures, scenarios, and evaluation methods to assess the solution's performance, ...
    • An automated airborne support tool for aircraft emergencies: selection of landing sites and 4D diversion trajectories 

      Sáez García, Raúl; Guitart, Andréas; Viry, Benoît; Rad, Ioan Octavian; Prats Menéndez, Xavier; Delahaye, Daniel; Gonzalez, Patrice (2025-01-30)
      Article
      Open Access
      We present a software prototype (SafeNcy) capable of automatically choosing and ranking landing sites for emergency situations and of generating four-dimensional (4D) trajectories towards these sites. We describe the modules ...
    • U-Space social and environmental performance indicators 

      Krstic-Simic, Tatjana; Ganic, Emir; Mirkovic, Bojana; Baena, Miguel; Legriffon, Ingrid; Barrado Muxí, Cristina (Multidisciplinary Digital Publishing Institute (MDPI), 2024-10-01)
      Article
      Open Access
      The social potential of Urban Air Mobility (UAM) as a greener and faster transportation system in and around urban environments is indisputable. Nevertheless, the success of UAM introduction and its wide use will strongly ...
    • The pathway to net-zero emission in aviation – How much can we rely on sustainable aviation fuel? 

      Villardi de Montlaur, Adeline de; Kuljanin, Jovana; Ganic, Emir (Elsevier, 2024-10-03)
      Article
      Open Access
      The aviation industry is under constant pressure to reduce its environmental footprint and eventually achieve net-zero carbon emissions by 2050. In order to accomplish this ambitious but necessary goal, a variety of measures ...
    • Tactical departure scheduling for pop-up flights in Kansai International Airport 

      Sáez García, Raúl; Toratani, Daichi; Nakamura, Yoichi; Oka, Megumi (Springer, 2024)
      Conference report
      Restricted access - publisher's policy
      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 ...
    • A flight-procedure generation framework based on an RRT* path planning algorithm 

      Sáez García, Raúl; Toratani, Daichi; Mori, Ryota; Prats Menéndez, Xavier (2025-03)
      Article
      Restricted access - publisher's policy
      We introduce a flight-procedure generation framework that relies on the optimal version of the rapidly-exploring random tree (RRT*) algorithm, where nodes are connected using Dubins paths. This framework is employed for ...
    • SBNNR: small-size bat-optimized KNN regression 

      Seyghaly, Rasool; García Almiñana, Jordi; Masip Bruin, Xavier; Kuljanin, Jovana (Multidisciplinary Digital Publishing Institute (MDPI), 2024-11-14)
      Article
      Open Access
      Small datasets are frequent in some scientific fields. Such datasets are usually created due to the difficulty or cost of producing laboratory and experimental data. On the other hand, researchers are interested in using ...
    • Analyzing deep reinforcement learning model decisions with Shapley additive explanations for counter drone operations 

      Çetin, Ender; Barrado Muxí, Cristina; Salamí San Juan, Esther; Pastor Llorens, Enric (2024-09-10)
      Article
      Open Access
      As the use of drones continues to increase, their capabilities pose a threat to airspace safety when they are misused. Deploying AI models for intercepting these unwanted drones becomes crucial. However, these AI models, ...
    • Development of a multi-fidelity optimisation strategy based on hybrid methods 

      Porta Ko, Agustí; González Horcas, Sergio; Pons Prats, Jordi; Bugeda Castelltort, Gabriel (Springer, 2024-09-14)
      Article
      Open Access
      A multi-fidelity optimisation strategy has been developed in the present work, and its performance is illustrated through a series of test cases. The strategy is based on hybrid methods such that two genetic optimisation ...
    • Considering expected TMA holding into in-flight trajectory optimization 

      Delgado Muñoz, Luis; Torre Sangrà, David de la; Kuljanin, Jovana; Prats Menéndez, Xavier (2024)
      Article
      Open Access
      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 optimizing ...