Predictability of Flight Arrival Times Using Bidirectional Long Short-Term Memory Recurrent Neural Network

Predictability of Flight Arrival Times Using Bidirectional Long Short-Term Memory Recurrent Neural Network

The rapid growth in air traffic has led to increasing congestion at airports, creating bottlenecks that disrupt ground operations and compromise the efficiency of air traffic management (ATM). Ensuring the predictability of ground operations is vital for maintaining the sustainability of the ATM sec...

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Bibliographic Details
Main Authors: Vladimir Socha, Miroslav Spak, Michal Matowicki, Lenka Hanakova, Lubos Socha, Umer Asgher
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Aerospace
Subjects:
airport
flight
delay
model
prediction
predictability
Online Access:https://www.mdpi.com/2226-4310/11/12/991
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