A deep neural network approach for prediction of aircraft top of descent

A deep neural network approach for prediction of aircraft top of descent

An arrival flight starts to transit from the cruise phase to the descent phase at the top of descent (TOD). Pilots get to know the TOD locations via onboard devices, while controllers can estimate the TOD locations with the help of radar surveillance and simple rules. In order to help controllers to...

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書目詳細資料
Main Authors:	Ang, Haojie, Cai, Qing, Alam, Sameer
其他作者:	School of Mechanical and Aerospace Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2022
主題:	Engineering::Aeronautical engineering Air Traffic Management Deep Learning
在線閱讀:	https://hdl.handle.net/10356/162777 https://www.jstage.jst.go.jp/browse/iwac/list/-char/en
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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