Predicting how Heathrow is using it's runways in the browser
12 days ago
- #Machine Learning
- #Flight Tracking
- #Heathrow Airport
- The author worked near Heathrow Airport and observed varying plane activities based on runway rotations and wind conditions.
- Two methods were used to check airport operations: Heathrow Runways Twitter account and flight tracking apps like Flightradar24.
- The idea for lhrNet was born to create a website displaying airport operations in an accessible manner.
- Machine learning was employed to classify the airport's state into one of seven possible states using a grid-based image classification approach.
- OpenSky Network was chosen as a free data source for aircraft positions due to budget constraints.
- A simple machine learning model was developed, trained, and exported in ONNX format for browser-based inference.
- The final website, lhr.billyedmoore.com, has been operational with minimal issues, though it tends to be overconfident in predictions.
- The project was a learning experience combining machine learning, data processing, and frontend development.