Efficient control of collision risk through mitigation

Taehoon Kim, Steven J. Landry, Gabor Torjek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

A method to enhance separation assurance algorithms using a "mitigation" concept has been developed. The critical situation, in which pair of aircraft could collided within a short period of time due to unexpected blunders, has been modeled. An algorithm has been developed to identify all pairs of aircraft that have such a dangerous situation, and tested through simulation with NASA CTAS predicted trajectories data. The result shows that the algorithm tries to ensure that, even if some worst-case maneuver occurs at the wrong time, controllers (or automated agents) will have sufficient time to intervene to prevent a collision, with the implication of significantly improving the safety of separation assurance algorithms.

Original languageEnglish (US)
Title of host publication9th AIAA Aviation Technology, Integration and Operations (ATIO) Conference, Aircraft Noise and Emissions Reduction Symposium (ANERS)
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781563479809
DOIs
StatePublished - 2009

Publication series

Name9th AIAA Aviation Technology, Integration and Operations (ATIO) Conference, Aircraft Noise and Emissions Reduction Symposium (ANERS)

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Energy(all)

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