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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Hauptverfasser: SANZONE, Andrea, SAHLE, Hilna
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creator SANZONE, Andrea
SAHLE, Hilna
description 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.
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language eng ; fre ; ger
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subjects 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
title MACHINE-LEARNING BASED AIRPORT DATA FORECASTING
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