Utilizing Flight Data Monitoring for Near Miss Incident Analysis

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Published: Jun 23, 2020

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Samuel Pavel
Southern Illinois University
Bryan Harrison
Southern Illinois University
Ken Bro
Southern Illinois University
Avinash Sorab
Southern Illinois University
Michael Robertson
Southern Illinois University

Abstract

Midair collisions (MACs) and near midair collisions (NMACs) have been a concern for pilots and regulators since the advent of flight and the creation of the national airspace system. The purpose of this paper is to explore novel analysis methods for determining and representing near miss events at a collegiate flight school utilizing standard Garmin G1000 avionics data logging. The analysis of near-miss geographic distributions revealed useful trend information that has been used systemically to reduce the number of near-miss events, by way of discussion with instructors and implementing congestion limits or traffic area dispersal. The next iteration of data modeling would benefit from heatmapping, to identify trending geographic near-miss areas in near real-time.  

Article Details

Issue
Vol. 38 No. 2 (2020)
Section
Peer-Reviewed Practices
Author Biography

Samuel Pavel, Southern Illinois University

Associate Professor

Aviation Management and Flight

References

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