FlightAware Uses Machine Learning For Flight Planning


FlightAware is using machine learning to help flight departments, pilots and passengers much more accurately plan and execute their business flights. The system has billions of gigabytes of data on flight profiles, weather and diversions over the past 15 years and can use that accumulated knowledge to predict the outcome of an individual flight. “If you can tell me when you shut the door, we can tell you when you’re going to walk off that airplane,” said CEO Daniel Baker.

FlightAware has also blanketed the world with 22,000 ADS-B receivers it uses to track and monitor flights virtually everywhere on earth. Since ADS-B is required on U.S. aircraft as of this January, the plethora of information being beamed out by aircraft is being gathered through FlightAware’s FlightFeeder program in which volunteers host small receivers that send information from aircraft flying overhead to FlightAware’s computers to contribute to the real-time worldwide picture of flight activity that is the company’s core product. 

FlightAware has also partnered with Flight Bridge, a private aircraft travel management company that looks after ground transportation, FBO services and hotels. The two companies have integrated their services into an entire logistics package of planning and executing a flight.

Russ Niles
Russ Niles is Editor-in-Chief of AVweb. He has been a pilot for 30 years and joined AVweb 22 years ago. He and his wife Marni live in southern British Columbia where they also operate a small winery.

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