A system and a method include a monitoring control unit configured to compare an initial flight plan, as generated by a flight planner for an aircraft, and an assessed flight plan, as determined by air traffic control. The monitoring control unit is further configured to determine one or more alternate initial flight plans that differ from the initial flight plan in response to determining one or more differences between the initial flight plan and the assessed flight plan.

In an embodiment, a system disclosed herein receives input information relating to an unmanned aerial vehicle, ground delivery assets, and user preferences or configurations for delivery routes. The system processes the inputted information and determines an optimized delivery route that utilizes the unmanned aerial vehicle and the ground delivery assets. In an embodiment, a computer-implemented method, comprises accessing a drone definition table and a drone assignment table of a database system; accessing digitally stored delivery route data specifying a plurality of nodes connected by edges, the nodes being ordered from a starting point to a last node, wherein each of the nodes represents a delivery location, wherein each of the nodes comprises a service attribute specifying ground-only delivery or ground/drone delivery; selecting, from the delivery route data, a particular node having the service attribute specifying ground/drone delivery and that is next in order with respect to the starting point; removing the particular node from the delivery route data; determining a drone flight time associated with a distance, from a preceding node to a subsequent node, with respect to the particular node; based on the drone definition table and the drone assignment table, determining whether the drone flight time exceeds a maximum drone flight time of a particular drone; in response to determining that the drone flight time exceeds the maximum drone flight time, restoring the particular node in the delivery route data; and, otherwise, writing, to one or more sortie tables in the database, one or more sortie records corresponding to a sortie of the particular drone that can occur between the preceding node and the subsequent node; repeating the selecting, removing, determining, restoring, and writing steps for a plurality of other particular nodes in the delivery route data having the service attribute specifying ground/drone delivery.

In an embodiment, a system disclosed herein receives input information relating to an unmanned aerial vehicle, ground delivery assets, and user preferences or configurations for delivery routes. The system processes the inputted information and determines an optimized delivery route that utilizes the unmanned aerial vehicle and the ground delivery assets. In an embodiment, a computer-implemented method, comprises accessing a drone definition table and a drone assignment table of a database system; accessing digitally stored delivery route data specifying a plurality of nodes connected by edges, the nodes being ordered from a starting point to a last node, wherein each of the nodes represents a delivery location, wherein each of the nodes comprises a service attribute specifying ground-only delivery or ground/drone delivery; selecting, from the delivery route data, a particular node having the service attribute specifying ground/drone delivery and that is next in order with respect to the starting point; removing the particular node from the delivery route data; determining a drone flight time associated with a distance, from a preceding node to a subsequent node, with respect to the particular node; based on the drone definition table and the drone assignment table, determining whether the drone flight time exceeds a maximum drone flight time of a particular drone; in response to determining that the drone flight time exceeds the maximum drone flight time, restoring the particular node in the delivery route data; and, otherwise, writing, to one or more sortie tables in the database, one or more sortie records corresponding to a sortie of the particular drone that can occur between the preceding node and the subsequent node; repeating the selecting, removing, determining, restoring, and writing steps for a plurality of other particular nodes in the delivery route data having the service attribute specifying ground/drone delivery.

An automated unmanned aerial vehicle (UAV) open water beachfront hazard recognition, warning, and rescue system and processes are disclosed. The automated UAV open water beachfront hazard recognition, warning, and rescue system includes a UAV that is configured as an autonomous patrol or scout system, an automated rip current and sea animal registration system, and a mechanical rescue system to pull out or support a person in water. The automated UAV open water beachfront hazard recognition, warning, and rescue system is configured to react quickly and reach targets fast because the UAV flies in the air and takes a direct, obstruction-free path to the target.

An automated unmanned aerial vehicle (UAV) open water beachfront hazard recognition, warning, and rescue system and processes are disclosed. The automated UAV open water beachfront hazard recognition, warning, and rescue system includes a UAV that is configured as an autonomous patrol or scout system, an automated rip current and sea animal registration system, and a mechanical rescue system to pull out or support a person in water. The automated UAV open water beachfront hazard recognition, warning, and rescue system is configured to react quickly and reach targets fast because the UAV flies in the air and takes a direct, obstruction-free path to the target.

Examples described herein provide a computer-implemented method for managing battery usage for a hybrid electric engine of an aircraft. The method includes receiving a flight plan comprising flight plan data for a flight of an aircraft. The method further includes receiving battery data about a battery system of the aircraft. The method further includes determining waypoints for when to apply electric power from the battery system based at least in part on the flight plan data and the battery data. The method further includes controlling, based at least in part on the waypoints, an electric motor while the flight plan is executed. The method further includes updating, while the flight plan is executed, the waypoints based at least in part on data received during the flight.

Examples described herein provide a computer-implemented method for managing battery usage for a hybrid electric engine of an aircraft. The method includes receiving a flight plan comprising flight plan data for a flight of an aircraft. The method further includes receiving battery data about a battery system of the aircraft. The method further includes determining waypoints for when to apply electric power from the battery system based at least in part on the flight plan data and the battery data. The method further includes controlling, based at least in part on the waypoints, an electric motor while the flight plan is executed. The method further includes updating, while the flight plan is executed, the waypoints based at least in part on data received during the flight.

Embodiments of the present disclosure provide systems and methods for providing transportation corridor recommendations. In one embodiment, a method includes receiving, by one or more processors and from a transportation corridor database, a set of transportation corridors, receiving, by the one or more processors, vehicle configuration data for a vehicle, receiving, by the one or more processors, an indication of a trigger event, selecting, by the one or more processors, a subset of transportation corridors from the set of transportation corridors based at least in part on the vehicle configuration data and the trigger event, providing, via a user interface of the vehicle, one or more of a visual representation of the subset of transportation corridors and a visual representation of a recommendation of a transportation corridor of the subset, wherein the recommendation is based at least in part on an efficiency metric value for the transportation corridor.

A communication system is disclosed herein and includes aircraft equipment and on-ground equipment and uses a collaborative map, which has a graphic user interface that includes digital layers that each display a different interface view, and a digital assistant to optimize missions of the aircraft on ground and in flight. A first instance of the collaborative map and a first instance of the digital assistant are onboard the aircraft for one or more pilots to view and interact with. At least one second instance of the collaborative map and a second instance of the digital assistant are on-ground for one or more operators to view and interact with. Communications are managed to ensure synchronization of the instances of the collaborative map and the instances of the digital assistant.

A communication system is disclosed herein and includes aircraft equipment and on-ground equipment and uses a collaborative map, which has a graphic user interface that includes digital layers that each display a different interface view, and a digital assistant to optimize missions of the aircraft on ground and in flight. A first instance of the collaborative map and a first instance of the digital assistant are onboard the aircraft for one or more pilots to view and interact with. At least one second instance of the collaborative map and a second instance of the digital assistant are on-ground for one or more operators to view and interact with. Communications are managed to ensure synchronization of the instances of the collaborative map and the instances of the digital assistant.