A time-space conversion method of flight sequencing information aims to solve a problem that a flight sequencing suggestion generated by an arrival management system has poor effect in practical application due to abstract characteristics, comprising: generating a sequencing time and a delay suggestion of a flight in each key point in a terminal area and each runway by using a flight sequencing technology; predicting a flight status of the flight according to a current position and 4D trajectory information of the flight, and filtering a delay-consumed flight segment, and on that basis, generating a flight segment delay allocation strategy with reference to an aircraft performance and sequencing information, and obtaining a flight segment delay allocation result; and generating a visual spatial position reference target according to the flight segment delay allocation result and an operation deviation limit.

A method for providing a multimodal transport service based on a personal air vehicle may include checking, for at least one traffic object, route information including waypoint information and destination information, checking destination information of at least one passenger, setting service use information based on the route information for the at least one traffic object and the destination information of the at least one passenger, checking the service use information of the traffic object that approaches a take-off and landing facility, setting a transport zone as an entry zone of the traffic object, in response to a demand for transport processing of the traffic object, and processing the at least one passenger's getting into the traffic object.

A method for multimodal transportation based on an air vehicle may include confirming, by a transportation management server, freight transfer approval information provided by a freight transfer object that approaches a take-off and landing facility, setting a freight stop zone in response to a demand for freight handling of the freight transfer object, and processing freight loading or unloading of the freight transfer object based on freight information corresponding to the freight transfer object.

A device for managing air traffic, in an airspace includes a reference aircraft and at least one other aircraft, the device receiving a three-dimensional representation of the airspace at a time when an air conflict is detected between the reference aircraft and the at least one other aircraft, the device comprising an airspace-encoding unit configured to determine a reduced-dimension representation of the airspace by applying a recurrent autoencoder to the three-dimensional representation of the airspace at the air-conflict detection time; a decision-assisting unit configured to determine a conflict-resolution action to be implemented by the reference aircraft, the decision-assisting unit implementing a deep-reinforcement-learning algorithm to determine the action on the basis of the reduced-dimension representation of the airspace, of information relating to the reference aircraft and/or the at least one other aircraft, and of a geometry corresponding to the air conflict.

Systems and methods for trajectory planning for an unmanned aerial vehicle. A mission specification for fulfillment by an unmanned aerial vehicle is received. The mission specification identifies a waypoint, an optimization criterion, and information identifying the unmanned aerial vehicle. It is determined whether candidate flight trajectories are available. Maneuvers from a motions library that defines available maneuvers are modeled to identify candidate flight trajectories to the waypoint which satisfy a restriction condition and do not conflict with a flight plan for another aerial vehicle. If candidate flight trajectories are available, desired flight trajectories are selected. A mission approval is submitted to a receiving party.

Systems and methods provide a services architecture. An air mobility platform locally stores a native application at. The air mobility platform receives a first request for a first service and data identifying the first user as a priority user type or a non-priority user type. A second request for a second service and data related to the second user identifies the user type is received. The air mobility platform calculates a priority for the first request. If the priority for the first request exceeds the priority for the second request, a third party application is accessed for the first request. The air mobility platform submits the data related to the first request from the third party application to at least one of the first unmanned aerial vehicle or the first user.

Training an encoder is provided. The method comprises inputting a current state of a number of aircraft into a recurrent layer of a neural network, wherein the current state comprises a reduced state in which a value of a specified parameter is missing. An action applied to the aircraft is input into the recurrent layer concurrently with the current state. The recurrent layer learns a value for the parameter missing from current state, and the output of the recurrent layer is input into a number of fully connected hidden layers. The hidden layers, according to the current state, learned value, and current action, determine a residual output that comprises an incremental difference in the state of the aircraft resulting from the current action.

An embodiment method for controlling operation of an aerial vehicle in an aerial vehicle control system includes approving entry of the aerial vehicle into an aerial vehicle operation zone from a take-off and landing facility of a departure location built into the aerial vehicle control system, controlling an operation of the aerial vehicle in the aerial vehicle operation zone, and approving exit of the aerial vehicle from the aerial vehicle operation zone into a take-off and landing facility of a destination location.

Systems, methods and non-transitory computer readable storage media for airspace management within an airspace region at a node of a peer to peer network having a plurality of nodes and maintaining a blockchain containing a current deconflicted flight schedule for the airspace region. One method includes receiving requests for airspace reservations, each including flight plan data, from other nodes over the peer to peer network, compiling the flight plan data to identify conflicts between the requests and the current deconflicted flight schedule, validating the flight plan data of the requests that do not conflict with the current deconflicted flight schedule to generate validated airspace reservations, creating a block containing the validated airspace reservations and interlinking the block with the blockchain such that the blockchain contains a new deconflicted flight schedule for the airspace region for broadcast to the other nodes over the peer to peer network.

A method for determining an optimized trajectory to be followed by an aircraft, the method being implemented by a determining system of the aircraft and comprising: a first step for acquiring at least one constraint relative to at least one parameter of the trajectory to be followed, the constraint being determined by a control system of a remote station as a function of the air traffic and/or the aircraft mission; a step for calculating a desired trajectory as a function of the constraint; a step for transmitting the desired trajectory to the remote station; a second step for acquiring an instruction comprising an authorization to follow the desired trajectory or a refusal of the desired trajectory.