The Boeing Company

Miguel Angel Vilaplana Ruiz

Luis P D'Alto

Marco La Civita

Javier Lopez

Carlos Querejeta

Eduardo Gallo

Javier Lopez Leones

Francisco A Navarro Felix

Enrique Juan Casado Magaña

Francisco A Navarro Félix

Javier López Leonés

Techniques for estimating the impact of new operational conditions in a baseline air traffic scenario are described. For at least one flight, embodiments infer an aircraft intent that fits corresponding flight track data. A reconstructed trajectory is computed using the inferred aircraft intent. For at least one flight in an alternative air traffic scenario, an aircraft intent that fits new operational conditions is generated. The new operational conditions include a new air traffic management operation and a new air traffic procedure, and the generated aircraft intent conforms to the new air traffic management operation and the new air traffic procedure. Embodiments compute a generated trajectory of the at least one flight in the alternative air traffic scenario using the generated aircraft intent and compute trajectory-based analytics on each computed trajectory of the baseline and alternative air traffic scenarios using a set of metrics.

Computer-implemented method and system for estimating impact of new operational conditions in a baseline air traffic scenario

A computer-implemented method, system and computer program product for estimating the impact of new operational conditions in a baseline air traffic scenario. The system comprises: an intent inference module for retrieving flight track data and associated aircraft type information of a flight in a baseline air traffic scenario, and inferring an aircraft intent that fits the flight track data; an intent generation module for, using an alternative air traffic scenario based on the baseline air traffic scenario with new operational conditions, generating an aircraft intent for each flight in the alternative air traffic scenario that fits the new operational conditions; a trajectory computation module for computing the trajectory of each flight in the baseline and alternative air traffic scenario using their aircraft intent; an evaluation module for computing a trajectory-based analytics on each computed trajectory of the baseline and alternative air traffic scenario using a set of metrics.

Determining a descent trajectory described by an Aircraft Intent Description Language (AIDL) is disclosed. An example method includes accessing historical flight data for a recorded flight trajectory, the recorded flight trajectory having been performed by a first aircraft type of multiple aircraft types and for a first airline of multiple airlines; estimating, using a processor, an aircraft intent parameter and an initial condition of the recorded flight trajectory based on an aircraft intent description language (AIDL) representation of the recorded flight trajectory; and mapping, using the processor, the aircraft intent parameter and the initial condition to a combination of the first aircraft type, the first airline, and an identified intended descent procedure.

Determining a descent trajectory described by an aircraft intent description language (AIDL)

The present invention provides a computer-implemented method of producing a description of aircraft intent expressed using a formal language. The description may be used to predict aircraft trajectory, for example by air traffic management. Rules are used in association with information provided to generate a set of instructions describing both the aerodynamic configuration of the aircraft and the motion of the aircraft. These instructions are checked to ensure that they describe unambiguously the aircraft's trajectory. The instructions are then expressed using a formal language.

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Madrid, Spain

Miguel Angel Vilaplana Ruiz