Jul 8, 2014 · A safe and efficient prediction is a prerequisite for the implementation of automated tools that detect and solve conflicts between trajectories ...

This paper a twofold objective; the first one, we develop an approach based on Artificial Neural Networks (ANNs), called Optimization of Multilayer Perceptron ...

In [20], a neural network is employed to predict aircraft trajectories in the vertical plane. The network is trained by using a set of real trajectories. We can ...

Neural networks are trained using a set of real trajectories and then used to forecast new ones. Two prediction methods have been devel- oped: the first is able ...

Apr 4, 2022 · (b) Conversion of trajectories into images: Using trajectory data to resolve conflicts, the number of input parameters depends on the number of.

This study focuses on exploring and understand- ing the application of a collection of supervised learning algorithms on aircraft trajectories arriving into an.

Sep 25, 2024 · A Multilayer Perceptron Neural Network machine learning model predicts the deviations in actual flight paths from the planned routes, by ...

Oct 22, 2024 · These insights should help guide future research about the application of neural networks when it comes to aircraft trajectory prediction and ...

Sep 15, 2022 · The time-series features of the flight trajectory are extracted in the initial stage using the long-short-term memory neural network (LSTM). In ...

This paper aims to increase en-route flight safety through the development of deep learning models for trajectory prediction.