AI-Accelerated Product Development
Machine learning based en-route flight safety methods
Total time needed:
Jump start application of machine learning methods for trajectory prediction and use cases involving flight safety
Potential Use Cases
Flight safety, flight prediction, delay prediction, flight operations, predictive maintenance, aircraft monitoring
Who is This For ?
Data Scientists interested in aerospace verticals, flight analysts, operations research analyst in the aerospace verticals
Click on each of the following
to see details.
1. IATA article on air passenger demand forecasts
Why are developments and advanced analysis for flight safety necessary ?
2. The future of the national airspace system
What is the current state of the art and the future of air transportation systems that are (or will be) implemented ?
3. Base of aircraft data: conventional approach to flight prediction
What is the conventional physics based approach to trajectory prediction ?
4. Flight trajectory prediction using deep generative convolutional recurrent neural networks approach
How can we leverage deep learning in trajectory prediction ?
5. Deep trajectory prediction
How to implement deep learning methodologies for trajectory prediction ?
6. Introduction of uncertainty using Bayesian methods in flight trajectory prediction
How can we include uncertainty in a manageable manner in flight trajectory predictions ?
7. Bayesian uncertainty integration with trajectory prediction explained
How can we implement Bayesian uncertainty analysis and LSTMs for trajectory prediction ?
8. Historic flight dataset
Where can I access historic data to develop and test my methodologies ?