Abstract: A system, computer-readable medium, and a method including receiving flight data engine measurements for at least one engine of the specific aircraft asset; receiving flight data aerodynamics measurements for the specific aircraft asset; combining a physics based parametric aerodynamic performance model tuned for the specific aircraft asset using the flight data aerodynamics measurements and a physics based engine model tuned for the specific aircraft asset using the flight data engine measurements; calculating, based on the combined tuned aerodynamic performance model and the tuned engine model, a performance model for the specific aircraft asset as a whole; and storing a record of the calculated performance model for the specific aircraft asset for a future deployment.

Abstract: A system, computer-readable medium, and a method including obtaining flight data for a prescribed flight from at least one of an airborne system of a particular aircraft to execute the prescribed flight and a system other than the airborne system of the particular aircraft having a source of data related to the prescribed flight, the flight data including specific details relating to at least one of the particular aircraft and parameters of the prescribed flight; performing, by a processor of an external computational asset and based on the obtained flight data, a control optimization to generate optimized path specific controls for the prescribed flight; transmitting the optimized path specific controls via a communication uplink from the external computational asset to the particular aircraft; and guiding, in response to receiving the optimized path specific controls by the particular aircraft, the particular aircraft in accordance with the optimized path specific controls to execute the prescribed flight.

Abstract: According to some embodiments, an Arbitrary Software Logic Modeling (“ASLM”) data source may store electronic records associated with units, each electronic record including a unit identifier, one or more identification tags, context data, unit parameters, unit variables, and internal logic. An ASLM platform may express system requirements at a logic block level and establish the logic blocks as self-contained entities and connections in accordance with the system requirements (the established logic blocks graphically representing systems logic). The ASLM platform may then explicitly transform the systems logic automatically to output language agnostic common design information exchange model information. The ASLM platform may also translate and maintain traceability among the system requirements, common design information exchange model information, and generated code.

Abstract: A method, medium, and system to receive flight parameter data relating to a plurality of flights, the flight parameter data including indications of aircraft performance based navigation (PBN) capabilities, flight plan information, an aircraft configuration, and an airport configuration for the plurality of flights; assign probabilistic properties to the flight parameter data; receive accurate and current position and predicted flight plan information for a plurality of aircraft corresponding to the flight parameter data; determine a probabilistic trajectory for two of the plurality of aircraft based on a combination of the probabilistic properties of the flight parameter data and the position and predicted flight plan information, the probabilistic trajectory being specific to the two aircraft and including a target spacing specification to maintain a predetermined spacing between the two aircraft at a target location with a specified probability; and generate a record of the probabilistic trajectory for the

Abstract: A system, computer-readable medium, and a method including determining a reference baseline model that accurately represents a behavior of a nominal or average asset of a particular type; determining a parametric model that accurately represents a deviation between a performance of a specific asset and the reference baseline model, the specific asset being of the particular type; tuning the parametric model based on operational data from the specific asset; combining the reference baseline model and the parametric model to obtain a parametric performance model for the specific asset; and storing a record of the parametric performance model for the specific asset.

Abstract: A system, computer-readable medium, and a method including receiving flight data engine measurements for at least one engine of the specific aircraft asset; receiving flight data aerodynamics measurements for the specific aircraft asset; combining a physics based parametric aerodynamic performance model tuned for the specific aircraft asset using the flight data aerodynamics measurements and a physics based engine model tuned for the specific aircraft asset using the flight data engine measurements; calculating, based on the combined tuned aerodynamic performance model and the tuned engine model, a performance model for the specific aircraft asset as a whole; and storing a record of the calculated performance model for the specific aircraft asset for a future deployment.

Abstract: According to some embodiments, an Arbitrary Software Logic Modeling (“ASLM”) data source may store electronic records associated with units, each electronic record including a unit identifier, one or more identification tags, context data, unit parameters, unit variables, and internal logic. An ASLM platform may express system requirements at a logic block level and establish the logic blocks as self-contained entities and connections in accordance with the system requirements (the established logic blocks graphically representing systems logic). The ASLM platform may then explicitly transform the systems logic automatically to output language agnostic common design information exchange model information. The ASLM platform may also translate and maintain traceability among the system requirements, common design information exchange model information, and generated code.

Abstract: A method, medium, and system are provided comprising: receiving airspace data, weather data, and flight data at a spacing advisor module, the airspace data, weather data and flight data related to a plurality of flights; generating, via a trajectory modeler, a predicted trajectory for each of the flights of the plurality of flights to a target area; calculating a desired spacing for at least one of the points along a reference flight path; manipulating a trajectory for at least one of the first flight and the second flight based on the desired spacing; generating a target spacing, via the spacing advisor module, associated with a first flight and a second flight of the plurality of flights based on the received data, the generated predicted trajectory, and the manipulation of the predicted trajectory, wherein the target spacing is a distance between the second flight and a second meter point when the first flight passes a first meter point; and operating at least one of a first aircraft associated with the fi

Abstract: A system, computer-readable medium, and a method including obtaining flight data for a prescribed flight from at least one of an airborne system of a particular aircraft to execute the prescribed flight and a system other than the airborne system of the particular aircraft having a source of data related to the prescribed flight, the flight data including specific details relating to at least one of the particular aircraft and parameters of the prescribed flight; performing, by a processor of an external computational asset and based on the obtained flight data, a control optimization to generate optimized path specific controls for the prescribed flight; transmitting the optimized path specific controls via a communication uplink from the external computational asset to the particular aircraft; and guiding, in response to receiving the optimized path specific controls by the particular aircraft, the particular aircraft in accordance with the optimized path specific controls to execute the prescribed flight.

Abstract: A method, medium, and system to receive flight parameter data relating to a plurality of flights, the flight parameter data including indications of aircraft performance based navigation (PBN) capabilities, flight plan information, an aircraft configuration, and an airport configuration for the plurality of flights; assign probabilistic properties to the flight parameter data; receive accurate and current position and predicted flight plan information for a plurality of aircraft corresponding to the flight parameter data; determine a probabilistic trajectory for two of the plurality of aircraft based on a combination of the probabilistic properties of the flight parameter data and the position and predicted flight plan information, the probabilistic trajectory being specific to the two aircraft and including a target spacing specification to maintain a predetermined spacing between the two aircraft at a target location with a specified probability; and generate a record of the probabilistic trajectory for the

Abstract: A method for providing one or more aircraft with weather data during flight includes generating a weather model using a source of weather data. The weather model incorporates flight operations information and performance requirements. The method includes generating a weather message from the weather model. The weather message is generated in a format that is compatible with the aircraft. The method also includes transmitting the weather message to the aircraft during flight of the aircraft.

Abstract: A method for identifying variations in aircraft operational parameters includes processing a four-dimensional (4D) aircraft trajectory for a flight along a defined route. The method also includes determining an aircraft intent corresponding to the flight along the defined route based at least in part on an aircraft performance model from a trajectory predictor. The aircraft intent includes multiple segments and corresponding intent parameters. In addition, the method includes adjusting the intent parameters such that a computed 4D trajectory substantially corresponds to the 4D aircraft trajectory. The method further includes determining a computed operational parameter based at least in part on the computed 4D trajectory and the aircraft performance model from the trajectory predictor. In addition, the method includes identifying variations between the computed operational parameter and a corresponding measured operational parameter.

Abstract: A method and system of managing an aerial vehicle trajectory is provided. The remote trajectory management system (RTMS) for a fleet of aircraft includes an input specification module configured to manage information specifying flight-specific input data used to generate a trajectory, an aircraft model module including data that specifies a performance of the aircraft and engines of the aircraft, a predict 4D trajectory module configured to receive the specified inputs from the input specification module and an aircraft performance model from aircraft model module and to generate a 4D trajectory for a predetermined flight, and a trajectory export module configured to transmit a predetermined subset of the predicted trajectory to the aircraft.

Abstract: A method for providing one or more aircraft with weather data during flight includes generating a weather model using a source of weather data. The weather model incorporates flight operations information and performance requirements. The method includes generating a weather message from the weather model. The weather message is generated in a format that is compatible with the aircraft. The method also includes transmitting the weather message to the aircraft during flight of the aircraft.

Abstract: A method and system of managing an aerial vehicle trajectory is provided. The remote trajectory management system (RTMS) for a fleet of aircraft includes an input specification module configured to manage information specifying flight-specific input data used to generate a trajectory, an aircraft model module including data that specifies a performance of the aircraft and engines of the aircraft, a predict 4D trajectory module configured to receive the specified inputs from the input specification module and an aircraft performance model from aircraft model module and to generate a 4D trajectory for a predetermined flight, and a trajectory export module configured to transmit a predetermined subset of the predicted trajectory to the aircraft.