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.

A method is disclosed. The method includes receiving an indication of presence of an aircraft in a vicinity of an uncrewed aerial vehicle (UAV) which is flying along a flight path. The method also includes decelerating, based on the received indication, the UAV to reduce a ground speed along the flight path. The method additionally includes descending, after reducing the ground speed, the UAV to a hover position. The method further includes determining, while the UAV is in the hover position, whether to resume the flight path or to land the UAV based on a determination of continued presence of the aircraft in the vicinity of the UAV. The method also includes controlling the UAV based on the determination of whether to resume the flight path or to land the UAV.

An aerial vehicle includes a communication unit configured to receive a wireless signal from a geo-fencing device, and a flight controller configured to generate one or more control signals that cause the aerial vehicle to operate in accordance with a set of flight regulations generated based on the wireless signal. The geo-fencing device is configured not for landing of the aerial vehicle. The set of flight regulations includes rules for controlling at least one of the aerial vehicle, a carrier carried by the aerial vehicle, or a payload of the aerial vehicle.

Methods, devices, and systems for air traffic control (ATC) flight management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an ATC flight management analysis that includes an airport map showing locations of aircraft at the airport and a card panel including a number of flight cards, where each respective one of the number of flight cards corresponds to a different respective one of the aircraft at the airport, and a user interface to display the ATC flight management analysis in a single integrated display.

An operation support apparatus includes: an acquisition unit that acquires an operation status of transportation means; a generation unit that performs processing of recognizing voices of a first staff who gives an instruction to operate the transportation means and a second staff who is instructed by the first staff, and generates character information obtained by converting the recognized voice into characters; a detection unit that performs syntax analysis on the character information and detects wrong recognition by the first or second staff; and a display control unit that displays the character information and the detection result of the wrong recognition by the detection unit on a display device visually recognizable by the first staff, thereby reducing occurrence of an accident due to the wrong recognition by the staff related to operation of the transportation means at a site where the transportation means is operated.

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.

Systems, methods, and devices for automatic signal detection in an RF environment are disclosed. A sensor device in a nodal network comprises at least one RF receiver, a generator engine, and an analyzer engine. The at least one RF receiver measures power levels in the RF environment and generates FFT data based on power level data. The generator engine calculates a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of the FFT data. The analyzer engine creates a baseline based on statistical calculations of the power levels measured in the RF environment for a predetermined period of time, and identifies at least one signal based on the first derivative and the second derivative of the FFT data in at least one conflict situation from comparing live power distribution to the baseline of the RF environment.

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.

A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.

Systems and methods for navigating an aerial vehicle are provided. One example aspect of the present disclosure is directed to a method for navigating an aircraft. The method includes receiving, by one or more processors, one or more first geographic coordinates via an interface configured to receive geographic coordinates from a satellite transmission. The method includes receiving, by the one or more processors, one or more second geographic coordinates via an interface configured to receive geographic coordinates from a ground transmission. The method includes determining, by the one or more processors, that the one or more first geographic coordinates and the one or more second geographic coordinates are inconsistent. The method includes updating, by the one or more processors, a flight plan using the one or more second geographic coordinates when the one or more first geographic coordinates are inconsistent with the one or more second geographic coordinates.