Latest revision as of 00:45, 29 January 2021

Abstract

The Traffic Aware Planner (TAP) is an airborne advisory tool that generates optimized, traffic-avoiding routes to support the aircraft crew in making strategic reroute requests to Air Traffic Control (ATC). TAP is derived from a research-prototype self-separation tool, the Autonomous Operations Planner (AOP), in which optimized route modifications that avoid conflicts with traffic and weather, using waypoints at explicit latitudes and longitudes (a technique supported by self-separation concepts), are generated by maneuver patterns applied to the existing route. For use in current-day operations in which trajectory changes must be requested from ATC via voice communication, TAP produces optimized routes described by advisories that use only published waypoints prior to a reconnection waypoint on the existing route. We describe how the relevant algorithms of AOP have been modified to implement this requirement. The modifications include techniques for finding appropriate published waypoints in a maneuver pattern and a method for combining the genetic algorithm of AOP with an exhaustive search of certain types of advisory. We demonstrate methods to investigate the increased computation required by these techniques and to estimate other costs (measured in terms such as time to destination and fuel burned) that may be incurred when only published waypoints are used.

Original document

The different versions of the original document can be found in:

• http://pdfs.semanticscholar.org/e21b/9b493351a2701a177536bb1a51e5a4c2f217.pdf

• http://arc.aiaa.org/doi/pdf/10.2514/6.2013-4968,

http://dx.doi.org/10.2514/6.2013-4968

• https://ntrs.nasa.gov/search.jsp?R=20180001345,

https://arc.aiaa.org/doi/pdf/10.2514/6.2013-4968,

https://academic.microsoft.com/#/detail/2317456776