RNN-CNN Hybrid Model to Predict C-ATC CAPACITY Regulations for En-Route Traffic

RNN-CNN Hybrid Model to Predict C-ATC CAPACITY Regulations for En-Route Traffic

Meeting the demand with the available airspace capacity is one of the most challenging problems faced by Air Traffic Management. Nowadays, this collaborative Demand–Capacity Balancing process often ends up enforcing Air Traffic Flow Management regulations when capacity cannot be adjusted. This proce...

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Bibliographic Details
Main Authors:	Sergi Mas-Pujol, Esther Salamí, Enric Pastor
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Aerospace
Subjects:	ATFM regulations demand–capacity balancing deep learning convolutional neural network recurrent neural network RNN-CNN hybrid model
Online Access:	https://www.mdpi.com/2226-4310/9/2/93

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