Utilizing Flight Data Monitoring for Near Miss Incident Analysis

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.