Embodiments of the present disclosure relate to a system and device for generating and providing a list of possible options for re-routing or changing the flights based on user-specific query. The system identifies if there are one or more empty legs in one more flight between a departure location and an arrival location provided by a user at the user device. The system also identifies if there are one or more alternative flights available to re-route to reach the departure location and pick passengers. Based on identification, the system accepts or rejects the user query and accordingly generates a list of possible options to which said user may with a selection of a best-suited flight.

Systems and methods are disclosed for enforcing at least one rule associated with a geofence. At least one device is constructed and configured in network communication with a server platform and a database. The server platform defines at least one geofence for a region of interest and specifies at least one rule associated with the at least one geofence, thereby creating a rule-space model for the region of interest. The at least one geofence comprises a multiplicity of geographic designators with each geographic designator assigned with a unique IPv6 address. The at least one device receives at least one notification signal regarding the at least one rule from the at least one server platform and implements the at least one rule when the at least one device is within a predetermined distance from the at least one geofence for the region of interest.

Systems and methods are disclosed for enforcing at least one rule associated with a geofence. At least one device is constructed and configured in network communication with a server platform and a database. The server platform defines at least one geofence for a region of interest and specifies at least one rule associated with the at least one geofence, thereby creating a rule-space model for the region of interest. The at least one geofence comprises a multiplicity of geographic designators with each geographic designator assigned with a unique IPv6 address. The at least one device receives at least one notification signal regarding the at least one rule from the at least one server platform and implements the at least one rule when the at least one device is within a predetermined distance from the at least one geofence for the region of interest.

In some aspects, a voice to text decoding module receives audio data indicating one or more flight commands for an aircraft and from an air traffic control system, converts the audio data into text data indicating the one or more flight commands, analyzes the text data to determine the one or more flight commands, provides for display on a screen the determined one or more flight commands, receives a confirmation signal of the displayed one or more flight commands, modifies a flight plan of the aircraft so the aircraft complies with the confirmed one or more flight commands, and transmits flight control instructions corresponding to the modified flight plan to a control system of the aircraft.

In some aspects, a voice to text decoding module receives audio data indicating one or more flight commands for an aircraft and from an air traffic control system, converts the audio data into text data indicating the one or more flight commands, analyzes the text data to determine the one or more flight commands, provides for display on a screen the determined one or more flight commands, receives a confirmation signal of the displayed one or more flight commands, modifies a flight plan of the aircraft so the aircraft complies with the confirmed one or more flight commands, and transmits flight control instructions corresponding to the modified flight plan to a control system of the aircraft.

A HAPS platform may execute a neural network (a HAPSNN) as it monitors air traffic; the neural network enables it to classify, predict, and resolve events in its airspace of coverage in real time as well as learn from new events that have never before been seen or detected. The HAPSNN-equipped HAPS platform may provide surveillance of nearly 100% of air traffic in its airspace of coverage, and the HAPSNN may process data received from a drone to facilitate safe and efficient drone operation within an airspace.

A HAPS platform may execute a neural network (a HAPSNN) as it monitors air traffic; the neural network enables it to classify, predict, and resolve events in its airspace of coverage in real time as well as learn from new events that have never before been seen or detected. The HAPSNN-equipped HAPS platform may provide surveillance of nearly 100% of air traffic in its airspace of coverage, and the HAPSNN may process data received from a drone to facilitate safe and efficient drone operation within an airspace.

The present disclosure provides for alternate destination selection and management onboard a vehicle. The alternate destination selection includes receiving, at a vehicle management system (VMS) an alternate destination request selecting and determining a plurality of navigation estimates based on the request and updating the VMS according to the alternate destination and the plurality of navigation estimates.

The present disclosure provides for alternate destination selection and management onboard a vehicle. The alternate destination selection includes receiving, at a vehicle management system (VMS) an alternate destination request selecting and determining a plurality of navigation estimates based on the request and updating the VMS according to the alternate destination and the plurality of navigation estimates.

A method is provided for optimizing a flight of an aircraft with at least one segment of formation flight. The method includes accessing flight plans for flights of a fleet, and transforming the flight plans into values of a set of features that describe segments of the flights. The values are applied to a machine learning model trained to predict the segment(s) during which the aircraft is within a region that includes at least one second aircraft of the fleet that is thereby capable of serving as a leading aircraft in the segment(s) of formation flight in which the aircraft is a trailing aircraft. A notification is sent to the aircraft of the segment(s) and the second aircraft capable of serving as the leading aircraft. And a second notification is sent to the second aircraft of the segment(s) and the aircraft capable of serving as the trailing aircraft.