Aircraft, method, and computer readable medium for controlling brake action of an aircraft

A method for controlling brake action of an aircraft based on a current runway condition of a runway on which the aircraft is landing, the aircraft comprising a brake system including brakes configured to slow the aircraft during landing, the method comprising:

• executing executable instructions by a controller device in communication with the brakes and comprising one or more processors and non-transitory computer readable medium on which the executable instructions are stored, causing the one or more processors to perform steps comprising:
• receiving data from an air traffic controller characterizing an expected runway condition of the runway and an expected brake action for the aircraft, the expected brake action defining at least an expected brake pressure to be applied by the brakes for slowing the aircraft based on the expected runway condition of the runway;
• measuring, via a landing data measurement and transmission component of the controller device, current landing data of the aircraft including at least a current brake action during landing and data indicating a location at which the aircraft exits the runway during landing,
• wherein the data indicating the location at which the aircraft exits the runway during landing is determined via a navigation system,
• wherein the current brake action includes information associated with pressure applied to the brakes measured by a pressure sensor, and
• wherein the controller device is in communication with a plurality of sensors of the aircraft, including at least the pressure sensor;
• transmitting, by the landing data measurement and transmission component, the current landing data to a machine learning model configured to predict the current runway condition and the current brake action, the machine learning model built using a machine learning algorithm trained using historical runway condition data and historical landing data, including historical brake action data, of other aircraft landing at the runway;
• comparing the predicted current runway condition of the runway and the predicted current brake action of the aircraft to the data characterizing the expected runway condition of the runway and the expected brake action of the aircraft;
• outputting at least one of the predicted current runway condition and the predicted current brake action to the air traffic controller for updating at least one of the expected runway condition and the expected brake action if the data characterizing the expected runway condition or the expected brake action does not correspond to the predicted current runway condition or the predicted current brake action;
• and
• causing, based on the output, at least one of the aircraft or another aircraft to adjust its brake pressure to accommodate for runway conditions.

A non-transitory computer readable storage medium having executable instructions stored thereon for controlling brake action of an aircraft based on a current runway condition of a runway on which the aircraft is landing, the aircraft comprising a brake system including brakes configured to slow the aircraft during landing, the executable instructions being executable by one or more processors of a controller device in communication with the brakes, wherein upon execution of the executable instructions the one or more processors are configured to:

• receive data from an air traffic controller characterizing an expected runway condition of the runway and an expected brake action for the aircraft, the expected brake action defining at least an expected brake pressure to be applied by the brakes for slowing the aircraft based on the expected runway condition of the runway;
• measure, via a landing data measurement and transmission component of the controller device, current landing data of the aircraft including at least a current brake action during landing and data indicating a location at which the aircraft exits the runway during landing,
• wherein the data indicating the location at which the aircraft exits the runway during landing is determined via a navigation system,
• wherein the current brake action includes information associated with pressure applied to the brakes measured by a pressure sensor, and
• wherein the controller device is in communication with a plurality of sensors of the aircraft, including at least the pressure sensor;
• transmit, by the landing data measurement and transmission component, the current landing data to a machine learning model configured to predict the current runway condition and the current brake action, the machine learning model built using a machine learning algorithm trained using historical runway condition data and historical landing data, including historical brake action data, of other aircraft landing at the runway;
• compare the predicted current runway condition of the runway and the predicted current brake action of the aircraft to the data characterizing the expected runway condition of the runway and the expected brake action of the aircraft;
• output at least one of the predicted current runway condition and the predicted current brake action to the air traffic controller for updating at least one of the expected runway condition and the expected brake action if the data characterizing the expected runway condition or the expected brake action does not correspond to the predicted current runway condition or the predicted current brake action;
• and
• cause, based on the output, at least one of the aircraft or another aircraft to adjust their brake pressure to accommodate for runway conditions.