Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN)
Air traffic density prediction is crucial to aviation safety and air traffic management (ATM).
Understanding the complex spatial–temporal varying traffic patterns and the inter …
Understanding the complex spatial–temporal varying traffic patterns and the inter …
Uncertainty quantification of the ONERA 7A rotor performance and spanwise structural loads using a surrogate-based approach
The study demonstrates the role of uncertainty quantification for rotorcraft aeromechanics
using the ONERA 7A rotor. The uncertainties in blade properties including torsion, flap, and …
using the ONERA 7A rotor. The uncertainties in blade properties including torsion, flap, and …
Data-Driven 4D Trajectory Prediction Model Using Attention-TCN-GRU
L Ma, X Meng, Z Wu - Aerospace, 2024 - mdpi.com
With reference to the trajectory-based operation (TBO) requirements proposed by the
International Civil Aviation Organization (ICAO), this paper concentrates on the study of four …
International Civil Aviation Organization (ICAO), this paper concentrates on the study of four …
Surrogate Model and Discretization Error Impacts on the Fluid Dynamics Uncertainty Quantification Challenge Problem
JA Schaefer, AW Cary, M Khurana - AIAA SCITECH 2024 Forum, 2024 - arc.aiaa.org
In early 2023, an uncertainty quantification challenge problem was proposed by the AIAA
Fluid Dynamics Technical Committee Uncertainty Quantification Discussion Group. The …
Fluid Dynamics Technical Committee Uncertainty Quantification Discussion Group. The …
Short-Term 4D Trajectory Prediction Method Based on LSTM-IMM
B Liu, Q Shi, P Han - 2022 IEEE/AIAA 41st Digital Avionics …, 2022 - ieeexplore.ieee.org
Interacting Multiple Model (IMM) is a popular algorithm in trajectory prediction research field,
and it can predict the Three-Dimensional (3D) position information about longitude, latitude …
and it can predict the Three-Dimensional (3D) position information about longitude, latitude …
Physics-guided Machine Learning in Air Traffic Flow Prediction and Optimization
Q Xu - 2024 - keep.lib.asu.edu
The increasing demands of air travel and the escalating complexity of air traffic management
(ATM) necessitate advanced air traffic flow prediction and optimization methodologies. This …
(ATM) necessitate advanced air traffic flow prediction and optimization methodologies. This …