US 12,031,828 B2
Method for optimising a flight plan
Anamaria Lupu, Paris (FR); Arthur Llau, Paris (FR); and Baptiste Gregorutti, Paris (FR)
Assigned to Safety Line, Paris (FR)
Appl. No. 17/594,164
Filed by Safety Line, Paris (FR)
PCT Filed Dec. 10, 2019, PCT No. PCT/EP2019/084413
§ 371(c)(1), (2) Date Oct. 5, 2021,
PCT Pub. No. WO2020/120470, PCT Pub. Date Jun. 18, 2020.
Claims priority of application No. 1872816 (FR), filed on Dec. 13, 2018.
Prior Publication US 2022/0252401 A1, Aug. 11, 2022
Int. Cl. G01C 21/20 (2006.01); G08G 5/00 (2006.01)
CPC G01C 21/20 (2013.01) [G08G 5/0013 (2013.01); G08G 5/0021 (2013.01); G08G 5/0039 (2013.01); G08G 5/0091 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for optimizing a predefined flight plan comprising of an air route for an aircraft of a fleet of aircraft, an air route consisting of an ordered series of waypoints between an origin waypoint and a destination waypoint, each aircraft being designed to record data, called flight data, associated with the use of said aircraft, the method comprising a preliminary step of learning a network of air routes specific to the fleet of aircraft, this preliminary step comprising the steps of:
collecting, for each aircraft in the fleet, the flight data recorded by said aircraft,
recording said flight data in a database, each flight datum being recorded in association with a segment of an air route, a segment being a portion of the air route delimited by two consecutive waypoints,
determining, for each air route segment of the database, a probability of authorisation by an air traffic control for the use of said segment, based on the collected flight data,
determining, for each air route segment from the database, performance indicators comprising: the distance between the two consecutive waypoints of the segment, an average or median duration of the segment travel, and an average or median fuel consumption, based on the collected flight data, and
determining an optimal air route for performing each path of a plurality of predetermined paths via a machine learning method, each predetermined path being defined by an origin waypoint and a destination waypoint,
the method comprising a step of:
determining a fuel consumption model specific to the aircraft based on the flight data,
the method comprising the subsequent steps of:
collecting meteorological data associated with the aircraft environment, and
determining an optimised flight plan for reaching the destination waypoint, based on a current position of the aircraft, the flight conditions of the aircraft, the predefined air route, the consumption model of the aircraft, the meteorological conditions and the previously defined optimal air routes.