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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मुख्य लेखकों:	Zhixing Tang, Yijie Fan, Xuanting Chen, Xinyan Shi, Zhaolun Niu, Yuming Zhong, Meng Jia, Xiaowei Tang
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2026-02-01
श्रृंखला:	Aerospace
विषय:	air traffic noise prediction probabilistic traffic trajectory trajectory operation features machine learning QAR
ऑनलाइन पहुंच:	https://www.mdpi.com/2226-4310/13/3/208
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