Configuration Estimation from Position Data of Civil Jet Aircraft for Noise Mapping

What is it about?

We emphasize the critical role of accurately modeling aircraft configurations in noise calculations for both arrivals and departures. Using a machine learning method based solely on position data, we estimated configurations for various aircraft types and demonstrated significant improvements in noise prediction accuracy through corresponding calculations.

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