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

• المؤلفون الرئيسيون: Ang, Haojie, Cai, Qing, Alam, Sameer
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Aeronautical engineering; Air Traffic Management; Deep Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162777; https://www.jstage.jst.go.jp/browse/iwac/list/-char/en

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...