The present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.

The method comprises a step of simultaneous scanning the list of elements of each flight plan comprising for each given pair of a first scan index and a second scan index, a comparison between the first flight plan element whose position index corresponds to the first scan index and the second flight plan element whose position index corresponds to the second scan index, according to the following sub-steps when the first element is identical to the second element, adding at least one of said elements in a resulting list with a “no difference” marker; otherwise, adding in the resulting list, the first element with a marker “removed” and the second element with a marker “added”.

A method of deploying an unmanned aerial vehicle (UAV) operation system may be provided. A method may include estimating an amount of traffic for one or more routes based on a demand of the one or more routes. The method may also include determining a required number of docking stations for each route of the one or more routes based on the estimated amount of traffic for the route, a distance of the route, and a maximum travel distance for a UAV. Further, the method may include installing the required number of docking stations for each route of the one or more routes, wherein each docking station of the required number of docking stations including at least one of a power supply, a wireless charger, a communication module, a control module, and a camera.

A multi-dimensional flight release efficiency evaluation method. The method comprises: obtaining air flow control production and operation data which mainly comprises airspace capacity information, flight scheduling basic information, flight four-dimensional trajectory information and the like through a business information comprehensive processing platform, identifying a flight object affected by flow control and a flight object restricted by flow control through processing the operation data, analyzing a flight release time-hopping degree, calculating flight release delay distribution, evaluating controlled flight release fairness, predicting a controlled flight release normal rate, comparing airspace flow capacity matching situations, establishing a multi-dimensional flight release efficiency evaluation index set, and visually displaying evaluation indexes in modes of list, histogram, line chart, radar chart and the like.

Methods and systems for airport noise management, which are based on integrating virtual noise monitoring with actual noise recordings via mobile application system, are disclosed. An example method of improving airport noise management includes receiving information associated with a flight segment, generating a virtual noise map for the flight segment that includes a virtual noise metric generated for each of a multiple user-defined locations that span a projection of the flight path on the Earth. The method includes receiving, from a mobile application at a user location, an audio recording that was recorded in a recording interval, generating, based on the virtual noise map for the flight segment, a virtual noise metric associated with the user location, and determining a validity of the audio recording by comparing the virtual noise metric associated with the user location to a recorded noise metric that is calculated based on the audio recording.

Methods and systems are provided for assisting operation of a vehicle using speech recognition and transcription to provide a conversation log graphical user interface (GUI) display that consolidates communications with respect to the vehicle. One method involves receiving a data message from a system onboard the vehicle and generating a graphical representation of the data message within the conversation log GUI display, wherein the graphical representation of the data message includes a selectable element and is displayed on the conversation log GUI display concurrently with a graphical representation of a transcription of an audio communication with respect to the vehicle. The depicted data message and transcription are chronologically positioned with respect to one another in accordance with a timestamp associated with the data message. The conversation log GUI display dynamically updates in response to selection of the selectable element.

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.

Methods and systems are provided for assisting operation of a vehicle using speech recognition. One method involves automatically identifying a parameter value for an operational subject based at least in part on a preceding audio communication with respect to the vehicle and thereafter recognizing an audio input as an input command, determining a second operational subject associated with the input command, and automatically commanding a vehicle system to implement the parameter value for the operational subject when the second operational subject maps or otherwise corresponds to the operational subject associated with the parameter value. In this regard, the second operational subject may be conveyed by a user enunciating placeholder terminology that maps to the operational subject as part of the input command.

The present disclosure addresses the problem of UAVs pursuing a swarm of target UAVs. The target UAVs are flying together as a flock that are initially modeled as a circle having a time-varying radius or an arbitrarily-shaped swarm that may change in size. Guidance of the pursuing UAVs is developed based on a collision cone framework, wherein the pursuing UAVs cooperatively steer the velocity vector of any point in their convex hull, to intercept the target. Also, the problem of capturing a swarm of intruder UAVs using a net manipulated by a team of defense UAVs is disclosed. The intruder UAV swarm may be stationary, in motion, and even maneuver. Collision cones in 3-dimensional space are used to determine the strategy used by the net carrying UAVs to maneuver or manipulate the net in space in order to capture the intruders.

A multi-dimensional flight release efficiency evaluation method. The method comprises: obtaining air flow control production and operation data which mainly comprises airspace capacity information, flight scheduling basic information, flight four-dimensional trajectory information and the like through a business information comprehensive processing platform, identifying a flight object affected by flow control and a flight object restricted by flow control through processing the operation data, analyzing a flight release time-hopping degree, calculating flight release delay distribution, evaluating controlled flight release fairness, predicting a controlled flight release normal rate, comparing airspace flow capacity matching situations, establishing a multi-dimensional flight release efficiency evaluation index set, and visually displaying evaluation indexes in modes of list, histogram, line chart, radar chart and the like.