A method of simulating a quadcopter includes testing a plurality of quadcopter components at a plurality of operating conditions to generate one or more lookup tables for characteristics of the quadcopter components. The lookup tables are stored for quadcopter component simulation in a quadcopter simulator. When a simulated input value for a simulated quadcopter component is received in the simulator lookup table, entries corresponding to the simulated input value are read from the lookup table and simulated quadcopter component output is generated. Simulated quadcopter output to a flight controller is generated according to the simulated quadcopter component output from one or more entries of one or more lookup tables.

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.

Methods and systems for generating a recovery scheduling solution in response to a scheduling disruption are disclosed. A method includes receiving a request to modify an original schedule operations solution based on disruptive events, computing a flight recovery solution to reschedule disrupted flights, generating a crew recovery solution using the flight recovery solution that includes covered and uncovered flights by assigning flight crews to rescheduled disrupted flights, iteratively generating recommendations to delay or cancel uncovered flights until a best recovery solution is obtained, the best recovery solution including a crew recovery solution with a least amount of uncovered flights, iteratively generating, by the processing device, subsequent flight and crew recovery solutions based on the recommendations, generating a passenger recovery solution based on the best recovery solution and re-assigning disrupted passengers to the rescheduled disrupted flights, and configuring the airline recovery scheduling solution.

In some examples, a system that mounts on a vehicle includes a transceiver configured to transmit a first surveillance message including a first value for a quality parameter, wherein the first value indicates a first level of integrity or accuracy for the first surveillance message. The transceiver is also configured to receive a reply message to the first surveillance message. The system also includes processing circuitry configured to determine a second value for the quality parameter in response to the transceiver receiving the reply message, wherein the second quality parameter indicates a second level of integrity or accuracy for surveillance messages transmitted by the transceiver, and wherein the second level of integrity or accuracy is higher than the first level. The transceiver is configured to transmit a second surveillance message including the second value for the quality parameter in response to the processing circuitry determining the second quality parameter.

Systems, apparatuses and methods provides for technology that establishes an internet connection with an on-ground component, and receives a first instruction from the on-ground component over the internet connection. The technology further identifies the first instruction and modify one or more parameters of the aircraft based on the first instruction.

A system for automated formation flight is disclosed. The system may include a formation commander sub-system including a task-based interface configured to receive a sequence of one or more task-based commands along with one or more sets of task-based options for each of the one or more task-based commands from an operator using one or more task-based selectable buttons of the task-based interface. The system may further include a formation manger sub-system communicatively coupled to the formation commander sub-system. Each vehicle of one or more vehicles within one or more teams may be configured to employ the formation manager sub-system. The formation manager sub-system may be configured to receive the one or more task-based commands along with the one or more sets of task-based options for each vehicle to perform.

A system and method include a phase determination control unit configured to receive position data of an aircraft. The position data includes height of the aircraft, altitude of the aircraft, and distance of the aircraft from one or more locations. The phase determination control unit is further configured to determine variables from messages received from the aircraft. The variables relate to the height of the aircraft, the altitude of the aircraft, and the distance of the aircraft from the one or more locations. The phase determination control unit is further configured to apply fuzzy logic to the variables to determine scores for possible phases of flight of the aircraft, identify a highest score among the possible phases of flight, and determine the highest score as an actual phase of flight of the aircraft.

A method for calculating real-time immission values at locations within an area of interest. The method comprises providing an emission dispersion model with real-time information on one or more mobile emitters, for example vehicles. The one or more mobile emitters are within an area of interest. The method further comprises providing the emission dispersion model with respective emission characteristics of the one or more mobile emitters. The method further comprises providing the emission dispersion model with information comprising influencing environmental factors on emission dispersion for an environment within the area of interest. The method further comprises calculating real-time immission values at locations within the area of interest based on the emission dispersion model. Further, a system for calculating real-time immission values at locations within an area of interest is provided.

Apparatuses, systems, and methods for tracking and/or controlling unmanned aerial vehicles (UAVs) as well as tracking UAV controllers (UACs) within a cellular network. A UAV/UAC may provide a cellular network with tracking information such as speed, orientation, altitude, C2 communication quality, C2 communication mode change request, measurement report, RRC status, cell ID, TAC ID, current location of the UAV, and destination of the UAV. The network may forward this information to an unmanned aerial system (UAS) traffic management system (UTM). The UTM may determine, based in part on the tracking information, whether to transfer control of the UAV from the UAC to the UTM. In some embodiments, the UAV/UAC may trigger the UTM to transfer control of the UAV form the UAC to the UTM.

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.