MACHINE-LEARNING BASED AIRPORT DATA FORECASTING

A method includes obtaining airport baseline data associated with an airport. The airport baseline data is descriptive of operational characteristics of the airport, infrastructure of the airport, or both. The method also includes modifying one or more parameters of the airport baseline data to gene...

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Bibliographische Detailangaben
Hauptverfasser:	SANZONE, Andrea, SAHLE, Hilna
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SIGNALLING SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRAFFIC CONTROL SYSTEMS
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Beschreibung
Zusammenfassung:	A method includes obtaining airport baseline data associated with an airport. The airport baseline data is descriptive of operational characteristics of the airport, infrastructure of the airport, or both. The method also includes modifying one or more parameters of the airport baseline data to generate candidate modification data. The method further includes providing model input data based on the candidate modification data as input to a trained machine learning model to generate forecast data indicating a predicted result of modification of the one or more parameters. The method also includes comparing the forecast data to one or more target values and generating a notification if the forecast data fails to satisfy the one or more target values.