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

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20020002548A1
SERIAL NO

09783215

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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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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Patent Owner(s)

Patent OwnerAddress
ACTION ENGINE CORPORATION8520 154TH AVENUE NE REDMOND WA 98052

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Roundtree, Brian Kirkland, WA 57 3086

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