Techniques for outputting landing area conditions to aircraft using standardized message protocols are provided. In an example method, a computing device accesses a configuration for generating messages using a predetermined message format for a first air traffic management device located at a first landing area. The computing device updates the configuration with information about a condition at the first landing area using the predetermined message format. The computing device outputs, using the first air traffic management device, a message based on the configuration, including transmitting the message to a second air traffic management device associated with an aircraft within a predetermined distance of the first landing area.

Embodiments of the present disclosure provide systems and methods for real-time, multi-factor prediction of emergency landing success probabilities using machine learning. In one embodiment, a method includes generating, by one or more processors, a first emergency landing success probability value, the first emergency landing success probability value based at least in part on one or more vehicle state conditions for a vehicle; generating, by the one or more processors, a second emergency landing success probability value, the second emergency landing success probability value based at least in part on one or more environmental state conditions for an operating environment of the vehicle; and generating, by the one or more processors, a third emergency landing success probability value based at least in part on the first emergency landing success probability value and the second emergency landing success probability value.

The disclosure principles provide a system and method for monitoring aircraft and runways. The system includes a plurality of sensors to collect aircraft and runway data. The sensors are disposed about a runway and include fiber optic sensors, cameras, microphones, gas sensors, and thermal sensors. The system also includes a computing device with an artificial intelligence-enabled program configured to analyze collected data and generate a multimodal output. The computing device is supported by a central cloud platform for multi-system learning. The multimodal output includes visual, auditory, tactile, olfactory, and gustatory stimuli. The system also includes a user interface configured to present the multimodal output to at least one user and collect user input data for storage, analysis, and future artificial intelligence improvement.

The disclosure principles provide a system and method for monitoring aircraft and runways. The system includes a plurality of sensors to collect aircraft and runway data. The sensors are disposed about a runway and include fiber optic sensors, cameras, microphones, gas sensors, and thermal sensors. The system also includes a computing device with an artificial intelligence-enabled program configured to analyze collected data and generate a multimodal output. The computing device is supported by a central cloud platform for multi-system learning. The multimodal output includes visual, auditory, tactile, olfactory, and gustatory stimuli. The system also includes a user interface configured to present the multimodal output to at least one user and collect user input data for storage, analysis, and future artificial intelligence improvement.

A system and a method continuously receives data at a first aircraft from a second aircraft while the first and second aircrafts are traveling. The data includes at least some positional information of the second aircraft. One or more anomalies in the data are identified that are indicative of one or more geographic locations where a global positioning system of the second aircraft was compromised. A digital map is automatically created that indicates the one or more geographic locations associated with the one or more anomalies that are identified in the data.

A system and a method continuously receives data at a first aircraft from a second aircraft while the first and second aircrafts are traveling. The data includes at least some positional information of the second aircraft. One or more anomalies in the data are identified that are indicative of one or more geographic locations where a global positioning system of the second aircraft was compromised. A digital map is automatically created that indicates the one or more geographic locations associated with the one or more anomalies that are identified in the data.

A method of preventing aircraft from taking off with ground support equipment installed thereon by detecting the presence of ground support equipment installed on an aircraft using geo-fencing software to define a predetermined area or virtual perimeter around in which aircraft may be operating and using an electronic tracking tag with a positioning device to transmit the location of the tracking tag to a satellite and/or land-based receiver. The satellite and land-based receiver are able to transmit location information to a computer system that then generates an alert. The alert is then transmitted to the pilot or other crew member of the aircraft, the control tower and/or ground support crew or any other entity desired. At that point the person(s) receiving the alert are in a position to take remedial action.

A method of preventing aircraft from taking off with ground support equipment installed thereon by detecting the presence of ground support equipment installed on an aircraft using geo-fencing software to define a predetermined area or virtual perimeter around in which aircraft may be operating and using an electronic tracking tag with a positioning device to transmit the location of the tracking tag to a satellite and/or land-based receiver. The satellite and land-based receiver are able to transmit location information to a computer system that then generates an alert. The alert is then transmitted to the pilot or other crew member of the aircraft, the control tower and/or ground support crew or any other entity desired. At that point the person(s) receiving the alert are in a position to take remedial action.