Various embodiments of a system and method for a quantitative approach and departure risk assessment are described. In one example, the system includes program instructions executable in the computing device that, when executed by the computing device, cause the computing device to: obtain a nominal flight path of an aircraft, calculate a potential crash area for a section of the nominal flight path based on a failure mode, calculate risk values based on a population data of a geographical area traveled corresponding to the nominal flight path, and display the calculated risk values plotted on a map of at least a section of the geographical area traveled corresponding to the nominal flight path. Other examples include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Described are systems and methods that utilize nodes distributed at different geographic locations to detect and track the approximate position, trajectory, and/or predicted path of aerial vehicles operating below a defined altitude (e.g., 500 feet). As nodes detect an aerial vehicle, the node determines a bearing toward the aerial vehicle and provides the bearing to an air-traffic system. The air-traffic system processes bearings received from each node and determines one or more of an approximate position, trajectory, and/or predicted path of the detected aerial vehicle. The approximate position, trajectory, and/or predicted path may be provided to one or more subscribing clients and/or used to alter paths of one or more aerial vehicles.

A method, apparatus, system, and computer program product for managing vertiport resources. A capacity for handling air traffic at a vertiport is determined. An allocation of arrival slots, departure slots, and service slots for the air traffic using the vertiport is managed based on the capacity determined for the vertiport.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.

A method may include detecting, during a flight of an aircraft system, a conflict with a planned route of the aircraft system, determining one or more alternate routes for the aircraft system to avoid the conflict, wherein each of the one or more alternate routes avoid secondary conflicts with active flight operations, transmitting first data to cause first visual information indicating the conflict and second visual information indicating the one or more alternate routes to be displayed to a user, receiving second data indicating one of the one or more alternate routes being selected by the user, and updating the planned route of the aircraft system to include the alternate route selected by the user.

A method for combining log data generated by an appliance associated with an aircraft with flight data is disclosed. The method includes receiving an automatic dependent surveillance-broadcast (ADS-B) signal, wherein the ADS-B signal is received by a communication module communicatively coupled to the appliance. The method includes processing the ADS-B signal into a digitized data signal and correlating the digitized data signal with the log data. The method further includes combining the ADS-B data signal into the log data to create a combined data and correlating the combined data with chronological data, wherein the combined data is timestamped based on the chronological data. A system is also disclosed. The system includes an appliance configured for use in an aircraft. The system further includes a communication module communicatively coupled to the appliance configured to receive automatic dependent surveillance-broadcast (ADS-B) signals from the aircraft and send ADS-B data to the appliance.

A device includes a processor. The processor is configured to execute instructions to: receive a request from an application to subscribe to a telemetry messaging service; grant a subscription to the telemetry messaging service, to the application based on the request; receive telemetry messages from drones over a radio access network (RAN); process the telemetry messages; and provide the processed telemetry messages to the application over the RAN.

A method for planning flight trajectories for at least two aircraft aiming to subsequently approach a predefined reference point, in particular a predefined destination, wherein each aircraft travels along a flight route according to an individual flight trajectory, such that a first aircraft travels along a first flight route according to a first flight trajectory and a second aircraft travels along a second flight route according to a second flight trajectory, wherein at least the second flight trajectory is set or adjusted such that at least one predetermined minimum separation between the two aircraft approaching the predefined destination according to their respective flight trajectories is ensured and the predetermined minimum separation is ensured throughout the whole flight trajectories by setting or adjusting an adjustable trajectory parameter (θ) of the first or second flight trajectory.

A method of displaying an electronic report on a GUI that includes receiving a user identifier and an authentication identifier associated with a user gaining access to a first application; displaying, on the GUI, a first window associated with the first application; displaying, via the first window, a listing of monitored flights; receiving, via the first window, a request; accessing, using the first application, a second application and a third application that are different from each other and the first application; updating the displayed listing of monitored flights using information accessed from the second and third applications; wherein a flight has a delay greater than two hours; and receiving, via the first window, a request for the electronic report for the flight; displaying, on the GUI and via a second window, the electronic report for the flight that includes information from each of the second and third applications.

Disclosed are embodiments for employing off board sensors to augment data used by a ground based autonomous vehicle. In some aspects, the off-board sensors may be positioned on another autonomous vehicle, such as an aerial autonomous vehicle (AAV). The disclosed embodiments determine uncertainty scores associated with ground regions. The uncertainty scores indicate a need to reimage the ground regions. An AAV may be tasked to reimage a region having a relatively high uncertainty score, depending on a cost associated with the tasking.