Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion
Eliminating accidents while maintaining the integrity of the National Airspace System is one
of the central objectives of the Next Generation Air Transportation System. This paper …
of the central objectives of the Next Generation Air Transportation System. This paper …
[PDF][PDF] Aircraft trajectory prediction using LSTM neural network with embedded convolutional layer
The development of convective weather avoidance algorithm is crucial for aviation
operations and it is also a key objective of the next generation air traffic management …
operations and it is also a key objective of the next generation air traffic management …
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
Abstract Neural Networks (NNs) have been widely used in supervised learning due to their
ability to model complex nonlinear patterns, often presented in high-dimensional data such …
ability to model complex nonlinear patterns, often presented in high-dimensional data such …
Probabilistic aircraft trajectory prediction considering weather uncertainties using dropout as Bayesian approximate variational inference
In the context of air traffic management (ATM), an accurate and reliable prediction of the
aircraft's trajectory is of critical importance. The enhanced predictability can decrease the …
aircraft's trajectory is of critical importance. The enhanced predictability can decrease the …
Safety risk assessment of air traffic control system based on the game theory and the cloud matter element analysis
J Tang, D Wang, W Ye, B Dong, H Yang - Sustainability, 2022 - mdpi.com
With the ever-increasing demand for air traffic over the years, safety risk assessment has
become significant in maintaining the operational safety of the air transport system for long …
become significant in maintaining the operational safety of the air transport system for long …
Bayesian-entropy gaussian process for constrained metamodeling
Abstract A novel Bayesian-Entropy Gaussian Process (BEGP) is proposed for constrained
metamodeling. Gaussian Process (GP) regression is a flexible and robust tool for surrogate …
metamodeling. Gaussian Process (GP) regression is a flexible and robust tool for surrogate …
A voice communication-augmented simulation framework for aircraft trajectory simulation
Aircraft operations in the terminal area rely heavily on voice communications between pilots
and air traffic controllers. This paper proposes a novel aircraft trajectory simulation …
and air traffic controllers. This paper proposes a novel aircraft trajectory simulation …
Probabilistic aircraft trajectory prediction with weather uncertainties using approximate Bayesian variational inference to neural networks
A key consideration in Trajectory Prediction (TP) tools is the confidence that can be placed
on the prediction. We purpose a non-deterministic TP neural network using tractable …
on the prediction. We purpose a non-deterministic TP neural network using tractable …
Real-time Aircraft Tracking System: A Survey and A Deep Learning Based Model
Real-time tracking of a maneuvering aircraft is a challenging issue in the literature. For
effective tracking, an accurate and complete transfer of data from aviation to ground systems …
effective tracking, an accurate and complete transfer of data from aviation to ground systems …
[PDF][PDF] Risk-based dynamic anisotropic operational safety bound for rotary UAV traffic control
This paper proposed a novel method to determine probabilistic operational safety bound for
unmanned aircraft traffic management. The key idea is to implement probabilistic uncertainty …
unmanned aircraft traffic management. The key idea is to implement probabilistic uncertainty …