• Can Holistic Optimization Improve Airport Air Traffic Management Performance 

      Karahasanovic, Amela; Zeh, Theodor; Eide, Aslak Wegner; Schittekat, Patrick; Swendgaard, Hans; Bakhrankova, Krystsina; Grantz, Volker; Kjenstad, Dag; Mannino, Carlo; Rokitansky, Carl-Herbert; Gräupl, Thomas (Journal article; Peer reviewed, 2019)
      Air transportation is an important factor in the economic growth of the European Union; however, the current system is already approaching its capacity and cost limits, and therefore needs to be reformed to meet the demands ...
    • Hotspot Resolution with Sliding Window Capacity Constraints using the Path&Cycle Algorithm 

      Mannino, Carlo; Nakkerud, Andreas; Sartor, Giorgio; Schittekat, Patrick (Journal article; Peer reviewed, 2018)
      We extend the new, efficient Path&Cycle formulation for the Hotspot Problem with two methods for dealing with windowed capacity constraints. We also discuss how to combine constraints to allow two-level capacity restricions ...
    • Putting a Face on Algorithms: Personas for Modeling Artificial Intelligence 

      Karahasanovic, Amela; Følstad, Asbjørn; Schittekat, Patrick (Chapter; Peer reviewed, 2021)
      We propose a new type of personas, artificial intelligence (AI) personas, as a tool for designing systems consisting of both human and AI agents. Personas are commonly used in design practices for modelling users. We argue ...
    • Scheduling Vehicles with Spatial Conflicts 

      Kloster, Oddvar; Mannino, Carlo; Riise, Atle; Schittekat, Patrick (Peer reviewed; Journal article, 2022)
      When scheduling the movement of individual vehicles on a traffic network, one must ensure that they never get too close to one another. This is normally modelled by segmenting the network and forbidding two vehicles to ...
    • SESAR Solution 08.01 Validation Plan (VALP) for V2 - Part I; D2.1.040 

      GUIBERT, Sandrine; FITZPATRICK, Marie; CRISCUOLO, Patrizia; DOHY, Didier; ILIEV, Boyan; LACATUS, Remus; Karahasanovic, Amela; Schittekat, Patrick; Nilsson, Erik Gøsta; ALLARD, Eric; NEYNS, Valérie; PUNTERO PARLA, Eva (Research report, 2019)
      This validation plan describes the V2 validation activities planned for solution 1 of the PJ08 Advanced Airspace Management. The aim of the planned validation activities in Wave 1 is to complete V2 maturity level of the ...
    • Supporting Air Traffic Controllers During Sector Configuration Changes in Dynamic Air Space Configuration 

      Karahasanovic, Amela; Nilsson, Erik Gøsta; Schittekat, Patrick; Vetle, Volden-Fredeberg; Smedsrud, Morten; CRISCUOLO, Patrizia; Giuseppe, Esposito (Journal article; Peer reviewed, 2019)
      There is an increasing demand for a means of addressing growth in air traffic amount and complexity. One such means, dynamic airspace configuration (DAC) proposes moving from fixed, static airspace configurations to ...
    • User Involvement in the Design of ML-Infused Systems 

      Karahasanovic, Amela; Nilsson, Erik Gøsta; Grani, Giorgio; Pettersen, Kjell Fredrik; Karabeg, Leo; Schittekat, Patrick (Chapter, 2021)
      Advances in machine learning (ML) open up possibilities for better supporting the decision making that occurs in high-stakes domains such as air traffic management (ATM). The success of such decision-making systems highly ...