Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A computer-implemented method and a system for setting up an air traffic management (ATM) simulator in an airport are described herein. The method performs the steps of receiving a set of undetermined parameters and rules (112) for configuring an ATM simulator (114) in an airport; retrieving a historical data set of variables associated with trajectory and aircraft states in an airspace region during a time interval; statistically analyzing the historical data set for modelling the airspace region and the airport, and identifying relationships between variables of the historical data set during the time interval relating to at least one undetermined parameter or rule (112); determining a parameter value (160) or rule (140,170) for configuring the ATM simulator corresponding with the at least one identified relationship.

Abstract: 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.

Abstract: A system and method for steering aircraft along a predetermined track is disclosed herein. The system and method relate to steering an aircraft along a lateral path (e.g. a track described by reference to latitude and longitude) by a method comprising: calculating a nominal track correction; providing an upper limit and a lower limit for the nominal track correction; setting a desired track correction as: (i) the nominal track correction if the nominal track is between the upper limit and the lower limit; (ii) the upper limit if the nominal track correction is greater than or equal to the upper limit; or (iii) the lower limit if the nominal track correction is less than or equal to the lower limit; and steering the aircraft using the desired track correction.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for steering aircraft along a predetermined track is disclosed herein. The system and method relate to steering an aircraft along a lateral path (e.g. a track described by reference to latitude and longitude) by a method comprising: calculating a nominal track correction; providing an upper limit and a lower limit for the nominal track correction; setting a desired track correction as: (i) the nominal track correction if the nominal track is between the upper limit and the lower limit; (ii) the upper limit if the nominal track correction is greater than or equal to the upper limit; or (iii) the lower limit if the nominal track correction is less than or equal to the lower limit; and steering the aircraft using the desired track correction.