The Boeing Company

Marco La Civita

Luis P D'Alto

Miguel Vilaplana

Miguel Angel Vilaplana Ruiz

Javier Lopez

Enrique Casado

Nicolas Pena Ortiz

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 system and a computer-implemented method for evaluating uncertainty of a predicted trajectory infrastructure is disclosed The method comprises collecting a plurality of data sets from a predicted trajectory: comprising providing an aircraft intent description based on the predicted trajectory; selecting both a point in time and one or more variables among the collected plurality of data sets as sources of uncertainty; representing each selected variable at the selected point in time as a uni-variable polynomial expansion; representing each non-selected variable by a single point; and combining selected and non-selected variables into a multi-variable polynomial chaos expansion representing a stochastic prediction of the aircraft's trajectory at the selected point in time and a measurement of a sensitivity of the prediction to each of the selected one or more sources of uncertainty.

Computer-implemented method and system for evaluating uncertainty in trajectory prediction

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.

The present disclosure relates to the secure transmission of an aircraft trajectory that is to be flown or that has been flown. A ground-referenced description of the trajectory of the aircraft expressed in ground-referenced parameters is converted, using a description of an imaginary atmospheric model describing imaginary atmospheric conditions along the trajectory, into an air-referenced description of the aircraft trajectory expressed in air-referenced parameters. For decryption, knowledge of the imaginary atmospheric conditions allows the air-referenced description of the aircraft trajectory to be converted back into the ground-referenced description of the aircraft trajectory. Thus, the ground-referenced trajectory may be though of as the plain text, the imaginary atmospheric model as the cipher key and the air-referenced trajectory as the cipher text.

Secure transmission of an aircraft trajectory

A method of estimating a course of an aircraft includes: receiving a time series of location data indicating a plurality of locations along a route take by an aircraft; defining a trajectory function for representing a path of the aircraft; fitting the trajectory function to at least a portion of the time series; defining a position that identifies the location of the aircraft along the route; projecting the defined position onto the trajectory function; and estimating a course of the aircraft as being a tangent of the trajectory function at the projected defined position.

Method and system for estimating aircraft course

The present disclosure relates to a method of assessing the feasibility of a desired four-dimensional trajectory to be flown by an aircraft. The method comprises converting a description of the desired trajectory into a kinematic description of aircraft intent that corresponds to the desired trajectory, and providing a trajectory computation engine with the kinematic description of aircraft intent, aircraft performance data that describes the performance of the aircraft and atmospheric data that describes the atmospheric conditions along the desired trajectory, and using the trajectory computation engine to attempt to calculate the desired trajectory from the kinematic description of aircraft intent, the aircraft performance data and the atmospheric data, and reporting whether or not the desired trajectory was calculated.

Assessing feasibility of an aircraft trajectory

A method is provided for inferring the aircraft intent of an aircraft from an observed trajectory. Aircraft performance data relating to that type of aircraft is retrieved from memory, along with atmospheric conditions along the observed trajectory. An initial set of candidate aircraft intents is generated. Each aircraft intent provides an unambiguous description of how the aircraft may be flown that allows a determination of an unambiguous resulting trajectory. A computer system calculates a trajectory defined by each candidate aircraft intent and forms a cost function from a comparison of each calculated trajectory to the observed trajectory. An evolutionary algorithm evolves the initial candidate aircraft intents, wherein the evolutionary algorithm uses a multi-objective cost function to obtain a cost function value that measures the suitability of each candidate aircraft intent.

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Madrid, Spain

Marco La Civita