Case Study: Federal Aviation Administration achieves safer air traffic analysis with JMP

The FAA Analyzes Air Traffic Data To Help Planes Keep Their Distance

The Federal Aviation Administration (FAA) needed a better way to improve automation in air traffic systems and give controllers more accurate, timely information as flight volumes grow. To support this work, the FAA used JMP statistical discovery software to analyze massive air traffic datasets from U.S. centers and around the world.

JMP helped the FAA retrieve, explore, and model millions of data points, including studies of lateral route deviations and aircraft conflict events. The results helped identify key sources of prediction error and develop tools and methods to better anticipate and resolve near-misses, supporting safer, more efficient air traffic control with measurable analysis at a scale of more than 8 million measurements and about 50,000 flights.

Federal Aviation Administration

Mike Paglione

Engineer, Simulation and Analysis Team