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Air Traffic Noise Prediction Method Based on Machine Learning Driven by Quick Access Recorder

Accurate prediction of air traffic noise is critical for advancing environmentally sustainable operations in high density terminal areas. Conventional noise prediction models often exhibit significant limitations due to discrepancies between actual and nominal flight trajectories. To overcome this c...

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Principais autores: Zhixing Tang, Yijie Fan, Xuanting Chen, Xinyan Shi, Zhaolun Niu, Yuming Zhong, Meng Jia, Xiaowei Tang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-02-01
Serier:Aerospace
Fag:
air traffic noise prediction
probabilistic traffic trajectory
trajectory operation features
machine learning
QAR
Online adgang:https://www.mdpi.com/2226-4310/13/3/208
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