Airline flight departure and arrival prediction based upon historical and real-time data

Abstract

Use of neural network technology to predict the actual arrival and departure times of scheduled airline flights based upon historical and real-time data. Based upon a scheduled airline flight, the system retrieves historical data related to the flight such as information concerning previous delays involving the same flight or delaying involving the departure and arrival airports. The system also retrieves real-time data that may affect the scheduled flight such as weather information or current news involving flight delays. The historical and real-time data is formatted into structured sets and optionally weighted. A neural network processes the structured historical and real-time data based upon the received flight information and provides predicted actual departure and arrival times along with corresponding confidence levels.

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