Method and apparatus for probabilistic alerting of aircraft unstabilized approaches using big data

US10643480B2 · kind B2 · utility

Assignee

• George Mason University · US

Inventors

• Lance Sherry · Phoenix, US
• John Shortle · Oak Hill, US
• Zhenming Wang · Longbeilingcun, CN

Key dates

• Filing date: Apr 19, 2017
• Grant date: May 5, 2020
• Expiry date: Dec 14, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/043
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Traditional approaches to predicting aircraft trajectories using kinematic models cannot work due to the complexity of the approach maneuver including flaps/slats, landing gear, ATC vectors, winds, and other traffic. The methods and systems disclosed can utilize Big Data Analytics (e.g., massive amounts of data of flights on each approach) to nowcast the approach stability given the state of the flight prior to the 1000′/500′ check points.