US 12,260,765 B2
Systems and methods for alerting when an intruder trend vector is predicted to intercept with an aircraft taxi path
Anoop S, Bangalore (IN); and Mohammed Ibrahim Mohideen, Bangalore (IN)
Assigned to HONEYWELL INTERNATIONAL INC., Charlotte, NC (US)
Filed by HONEYWELL INTERNATIONAL INC., Charlotte, NC (US)
Filed on May 16, 2022, as Appl. No. 17/663,467.
Claims priority of application No. 202111044413 (IN), filed on Sep. 30, 2021.
Prior Publication US 2023/0093956 A1, Mar. 30, 2023
Int. Cl. G08G 5/00 (2006.01)
CPC G08G 5/0008 (2013.01) [G08G 5/0021 (2013.01); G08G 5/0034 (2013.01); G08G 5/0078 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for alerting, in an ownship aircraft, when a trend vector associated with a traffic aircraft that is external to the ownship aircraft is predicted to intercept a travel route of the ownship aircraft, the system comprising:
a control module operationally coupled to receive real-time aircraft state data, flight plan data, and traffic data associated with the traffic aircraft, the real-time aircraft state data including a current location, a current heading, and a current speed of the ownship aircraft, the flight plan data including an intended destination of the ownship aircraft, the control module configured to:
process the real-time aircraft state data, the flight plan data, and the traffic data;
construct the travel route of the ownship aircraft from the current location to the intended destination;
generate display commands that cause a display device to render an image showing the ownship aircraft at the current location and at the current heading;
generate the trend vector associated with the traffic aircraft;
predict a location of an intersection of the trend vector and the travel route;
determine an amount of time it will take for the ownship aircraft, at the current location, the current heading, and the current speed, to reach the location of the intersection; and
generate display commands that cause the display device to generate an alert that visually distinguishes the location of the intersection on the image by rendering the location of the intersection in different colors depending on a type of alert and based at least in part on the amount of time.