Predicting Flight Trajectory in Convective Weather through Boosted Spatiotemporal Deep Learning Ensemble
Flight trajectory prediction is one of the key issues in ensuring the safety of air traffic, providing the air traffic controller with the foresight of flight conflicts so that control instructions for pilots can be preconceived. In a complicated mechanism, flight trajectories can be severely affect...
Saved in:
Main Authors: | Xi Zhu, Ke Zhang, Zhuxi Zhang, Lifei Tan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2024/6400839 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on real-time fusion method of multi-source heterogeneous flight trajectory data stream
by: Zhuxi ZHANG, et al.
Published: (2020-09-01) -
Price Prediction for Fresh Agricultural Products Based on a Boosting Ensemble Algorithm
by: Nana Zhang, et al.
Published: (2024-12-01) -
Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting
by: Randa Natras, et al.
Published: (2023-10-01) -
The Use of Ensembles in Space Weather Forecasting
by: J. A. Guerra, et al.
Published: (2020-02-01) -
The performance of the weather research & forecasting model (WRF) using ensemble method to predict weather parameters
by: Pratama Alvin, et al.
Published: (2025-01-01)