Optimizing flights of a fleet of aircraft using a reinforcement learning model
US12094349B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2021 |
| Grant date | Sep 17, 2024 |
| Priority date | — |
| Expiry date | Nov 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G5/55
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method of optimizing flights of a fleet of aircraft is provided. The method includes accessing flight plans for flights of a fleet of aircraft through an air transportation network, and applying the flight plans to a reinforcement learning model configured to determine maneuvers for each aircraft on a respective flight that achieves a respective maximum cumulative value of an operational efficiency metric across the flights of the fleet of aircraft, one or more of the maneuvers constituting a deviation from a respective flight plan. A comparison of respective maximum cumulative values of the operational efficiency metric is performed for the aircraft of the fleet of aircraft, one of the aircraft is selected based on the comparison, and a notification of the deviation from the respective flight plan is sent to the one of the aircraft.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.