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

• Main Authors: Ang, Haojie, Cai, Qing, Alam, Sameer
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• 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
• Institution: Nanyang Technological University

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...