Invention Publication
- Patent Title: MACHINE-LEARNING BASED AIRPORT DATA FORECASTING
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Application No.: US18066621Application Date: 2022-12-15
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Publication No.: US20240202610A1Publication Date: 2024-06-20
- Inventor: Andrea Sanzone , Hilna Sahle
- Applicant: THE BOEING COMPANY
- Applicant Address: US IL Chicago
- Assignee: THE BOEING COMPANY
- Current Assignee: THE BOEING COMPANY
- Current Assignee Address: US IL Chicago
- Main IPC: G06Q10/04
- IPC: G06Q10/04

Abstract:
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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