Disclosed herein are systems and methods for optimizing air traffic control managing using a Quantum Annealing-based iterative path planning technique and algorithm that involves both classical and quantum computation components. The classical component can calculate the distances between aircraft and the target destination from a set of new, possible properties, such as aircraft location. The quantum component can select from the new, possible properties to minimize the distance of the aircraft to the target destination while ensuring adequate separation between aircraft. The algorithm can utilize qubits to represent maneuverability options for aircraft. The maneuverability options may be partitioned into a set of multiple qubits per aircraft. Each set may include a plurality of qubits that are representative of the sub options. The algorithm can utilize Quadratic Unconstrained Boolean Optimization (QUBO) to find the lowest cost-energy maneuverability option.


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    Titel :

    OPTIMIZING AIRCRAFT PATH PLANNING


    Beteiligte:
    JAMES SCOTT (Autor:in)

    Erscheinungsdatum :

    2020-12-03


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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