Underdog Scientist Cracks Code to Reduce Flight Delays
GE – Currently, the flight plans that set routes, speed and altitudes for passenger planes have one major flaw – it’s impossible to adjust them in real time during the flight. This means they can’t take account of constantly changing variables like wind, weather and airspace restraints. Jose Fonollosa’s algorithms use national airspace data from Flight Stats to determine in real time the most efficient flight paths, speeds and altitudes.
GE organized the competition in partnership with the open Big Data community Kaggle and Alaska Airlines. The companies challenged data scientists to develop algorithms that could improve flight efficiency and reduce the number of delays.
The winning model by Jose Fonollosa, a professor at the Signal Theory and Communications Department of Universidad Politécnica de Cataluña in Barcelona, Spain, turned out to be 12 percent more efficient when compared with data from actual flights. more> http://tinyurl.com/mdy8zue