Methods and systems for providing alerts in an aircraft. The methods and systems receive a flight plan and conditions data providing information on flight conditions along the flight plan including meteorological data. The conditions data is analyzed in flying regions along the flight plan to determine flight rules information. An alert is output to flight crew of the aircraft. The alert predicts when and where a change between type of flight rules will occur based on the flight rules information.

Presented herein are systems and methods for simulating translated aircraft terminal procedures and comparing them to detect for errors in the translation of the terminal procedures. In one or more examples, one or more regulatory agency's routes and procedures for a given airspace are translated into one or more instructions that can be read by a flight computer that is configured to assist a pilot during a flight to adhere to those agency's procedures. A given terminal procedure can have multiple translations associated with it. In order to determine the accuracy of the translation process, in one or more examples, the translations provided by those vendors can be simulated by a computer that is configured to simulate an aircraft's traversal of an airspace using the instructions loaded on to the flight computer. The data generated by the simulations can be used to compare the translations to detect errors in the translation process.

A training and/or assistance platform for air traffic management is provided. The platform includes an air traffic management electronic system for obtaining input data representative of air traffic, to deliver, to an air traffic controller, information established as a function of the obtained input data, and to receive instructions from the air traffic controller The platform further includes a block for automatically determining instructions based on input data representative of at least the state of air traffic. The platform further includes an electronic processing module for collecting said input data and to provide it to the automatic determining block The platform further includes a neural network derived from learning on an input data history obtained by an electronic air traffic control system and received air traffic control instruction(s) received by the system.

A status notification apparatus 10 acquires face image data of a passenger 55 of an aircraft, the face image data having been acquired at departure/arrival airports 61 and 62 of the aircraft, and acquires, from a storage device 52 in which arrival destination information regarding the arrival destination of the aircraft, the face image data of the passenger 55, and identification information identifying the passenger 55 are stored in association with each other in advance, the identification information and the arrival destination information corresponding to the acquired face image data. The status notification apparatus 10 acquires a movement status of the passenger 55, and notifies a service provider 63 at the arrival destination of the acquired movement status and the acquired identification information based on the acquired arrival destination information.

Systems and methods for establishing an ad-hoc collaboration between unmanned aerial vehicles (UAVs) are provided. A method includes: configuring intent data of a first UAV using a controller of the first UAV; configuring a collaboration plan for the first UAV and a second UAV based on a determination of a shared intent between the first UAV and the second UAV; executing the collaboration plan by flying the first UAV and gathering data using the first UAV based on the collaboration plan; and sharing the gathered data with an operator of the second UAV.

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, apparatuses, system, devices, and computer program products for updating airspace awareness for unmanned aerial vehicles are disclosed. In a particular embodiment, the classification of a detected object is identified based on sensor data collected by an in-flight unmanned aerial vehicle (UAV). The location of the object is determined based on the sensor data. An airspace awareness controller generates, in dependence upon the classification of the object and the location of the object, an airspace awareness update concerning the object.

A system includes an aircraft including a position sensor configured to output a position signal regarding a position of the aircraft within an airspace, and a propulsion system configured to output a position confirmation signal regarding the position of the aircraft within the airspace. A method includes outputting, by a position sensor of an aircraft, a position signal regarding a position of the aircraft within an airspace; and outputting, by a propulsion system of the aircraft, a position confirmation signal regarding the position of the aircraft within the airspace.

A method for dynamic airspace planning is performed by one or more processors, and includes identifying, in an airspace model that includes an array of nodes, a set of path elements. Each path element connects a pair of adjacent nodes in the array. The method includes obtaining, for each aircraft in a set of aircraft, a respective current position on a path element. The set of aircraft may include thousands of manned and/or unmanned aircraft. The method includes obtaining, for each aircraft, a respective final position on a path element; and enumerating, for each aircraft, a respective set of flight paths. Each flight path includes one or more path elements, and extends from at least the current position of a respective aircraft to the final position of the respective aircraft. The method includes determining, for each aircraft, a respective optimal flight path based on the respective set of flight paths.

A tree structure represents a terrain area as nested polygons organized in a parent-child relationship, each polygon associated to a specific geographic location. The tree structure defines at least one parent node and a plurality of child nodes, some being leaf nodes containing a height value. A processor uses a distance measure to change the tree structure topology assessing whether all leaf node children of a first parent node lie outside a predetermined distance from an aircraft runway, and if so, converting the first parent node into a leaf node by storing in the first parent node a height value representing the greatest of the respective height values of the leaf node children and by removing the leaf node children; and iteratively repeating for each remaining parent node until it has been determined that every remaining parent node in the data structure cannot be pruned without violating accuracy requirements.