A method for runway configurations prediction of multi-airport system based on dynamic graphs, belonging to the technical field of air traffic control operation management; the method of the present invention constructs a dynamic graph model of a plurality of runway configurations in a multi-airport system, achieves prediction on runway configurations according to the dynamic graph model, is suitable for multi-airport system operation scenes and is capable of performing continuous prediction on runway configurations in all operation durations; the present invention not only allows air traffic controllers to achieve accurate runway scheduling but also provides powerful data support for making overall strategies for the multi-airport system operation.

An air mobility system between an aircraft and a companion system includes a data link configured to provide wireless communication between the companion system and the aircraft, where the data link is a set-aside analog channel configured to transmit audio signals that carry voice and data. State information is received by the companion. The state information indicates a basic state of the aircraft.

Systems and methods for detecting anomalies in aviation data communication systems (e.g., air traffic control surveillance systems), include a processor receiving device status information. A variational autoencoder receives and optimizes the device status information and determines whether it qualifies as an anomaly. Optimized device status information is compared to either non-anomalous or anomalous device status data in a latent space of the variational autoencoder. The latent space preferably includes an n-D point scatter plot and hidden vector values. The processor optimizes the device status information by generating a plurality of probabilistic models of the device status information and determining which of the plurality of models is optimal. A game theoretic optimization is applied to the plurality of models, and the best model is used to generate the n-D point scatter plot in latent space. An image gradient sobel edge detector preprocesses the device status information prior to optimization.

A method for controlling an unmanned aerial vehicle (UAV) includes determining whether the UAV is within a first flight restriction zone or a second flight restriction zone and effecting a restriction on the UAV in accordance with a result of the determination, including prohibiting the UAV from flying in response to determining that the UAV is within the first flight restriction zone, or controlling the UAV to fly below a flight ceiling in response to determining that the UAV is within the second flight restriction zone.

A method of management of a flight of an aircraft is provided. The method includes receiving a data stream from an automatic dependent surveillance broadcast (ADS-B) receiver during the flight, and the data stream includes an ADS-B message, a geographic position of the aircraft, and attitude and heading reference system (AHRS) data. The method includes accessing data that indicates a weight of the aircraft, identifying a force event experienced by the aircraft based on the geographic position, the AHRS data, and the weight of the aircraft, and classifying the force event by level of the force event, and by type of the force event as a turbulence event or a non-turbulence event. And the method includes outputting a report that indicates the force event as classified, at least when the force event is classified as a turbulence event.

A method for supervising an air traffic tracking system that includes determining performance indicator values and an operating feature of the tracking system for the current situation on the basis of the performance indicator values; if the operating feature is representative of an operating abnormality of the tracking system, determining at least one performance indicator corresponding to the operating abnormality, and determining values of the at least one performance indicator corresponding to normal operation; determining at least one quality of service measure of the tracking system based on the performance indicator values; if the at least one quality of service measure is representative of a degradation in the quality of service, determining at least one performance indicator corresponding to the degradation in the quality of service; executing at least one evaluation process associated with the at least one performance indicator and/or to the degradation in the quality of service.

A movable object includes one or more processors individually or collectively configured to assess a location of the movable object, calculate a distance between the movable object and a restricted region using the location of the movable object, assess whether the distance falls within a first distance threshold, and instruct the movable object to take a movement response measure selected from (1) a first movement response measure when the distance falls within the first distance threshold, and (2) a second movement response measure different from the first movement response measure when the distance falls outside the first distance threshold. The first movement response measure is related to a current movement status of the movable object.

An aircraft having an augmented reality flight control system integrated with and operable from the pilot seat and an associated pilot headgear unit, wherein the flight control system is supplemented by flight-assisting artificial intelligence and geo-location systems. Embodiments include an augmented reality flight control system incorporating real-world objects with virtual elements to provide relevant data to a pilot during aircraft flight. A translucent substrate is disposed in the pilot's field of view such that the pilot can see therethrough, and observe virtual elements displayed on the substrate. The system includes a headgear that is worn by the pilot. A flight assistance module is configured to receive data related to the aircraft and provide predictive assistance to the pilot during flight based on the received data based in part on a pilot profile having preferences related to the pilot.

A system includes a first sensor configured to detect an object within an air space, and output an observation signal indicative of the object within the air space. A second sensor is configured to track the object within the air space, and output a tracking signal of the object within the air space. A tracking control unit is in communication with the first sensor and the second sensor. The tracking control unit is configured to receive the observation signal from the first sensor. In response to receiving the observation signal from the first sensor, the tracking control unit is configured to operate the second sensor to track the object within the air space relative to an aircraft within the air space. The tracking control unit is also configured to determine a priority of actions to take in relation to the object based, at least in part, on the tracking signal received from the second sensor.

Systems and methods of detecting a vortex made by a travelling object is disclosed. Techniques include positioning a media collector to capture a visual media file of the vortex. In some configurations, a graphic recognition algorithm and vortex similarity engine are used to determine whether a visual media file captured by a media collector contains a vortex. In some configurations, a computer may trigger an alert if a travelling object vortex is not expected to be in the visual media file.