Predictive classification and understanding of weather impact on airport performance through machine learning by Schultz, Michael, Reitmann, Stefan, Alam, Sameer

“…The weather data is derived from local meteorological reports and airport performance is derived from both flight plan data and reported delays. We show that the application of machine learning approaches is an appropriate method to quantify the correlation between decreased airport performance and the severity of local weather events. …”
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Implementation of a long-range air traffic flow management for the Asia-Pacific region by Schultz, Michael, Lubig, Daniel, Asadi, Ehsan, Rosenow, Judith, Itoh, Eri, Athota, Srinivas, Duong, Vu N.

“…To derive the operational conditions and actual traffic patterns at the airport, ADS-B messages and flight plan information are processed. The data are cleaned, analyzed, and filtered to provide information about arrival flows within given distances to the airport. …”
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