Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Aircraft trajectory prediction is a challenging problem in air traffic control, especially for conflict detection. Traditional trajectory predictors require a variety of inputs such as flight-plans, aircraft performance models, meteorological forecasts, etc. Many of these data are subjected to envir...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE access Vol. 10; pp. 17881 - 17896
Main Authors:	Tran, Phu N., Nguyen, Hoang Q. V., Pham, Duc-Thinh, Alam, Sameer
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	4D trajectory Air traffic control Aircraft Aircraft detection Aircraft performance Aircraft trajectory prediction Atmospheric modeling Atmospheric models Coders Collision avoidance convolution neural network encoder-decoder Encoders-Decoders Error reduction Flight plans machine learning Performance enhancement Prediction models Predictive models recurrent neural network Recurrent neural networks Root-mean-square errors Traffic conflicts Traffic models Trajectories Trajectory Uncertainty Weather forecasting
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!