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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Bibliographic Details
Main Authors: Ang, Haojie, Cai, Qing, Alam, Sameer
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Aeronautical engineering
Air Traffic Management
Deep Learning
Online Access:https://hdl.handle.net/10356/162777
https://www.jstage.jst.go.jp/browse/iwac/list/-char/en

Internet

https://hdl.handle.net/10356/162777
https://www.jstage.jst.go.jp/browse/iwac/list/-char/en

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