AAE professor, students earn 'best paper' at conference
An AAE professor and two graduate students were awarded “best paper in the complexity track” at the USA & Europe Air Traffic Management Research and Development Seminar, which was jointly organized by the Federal Aviation Administration and The European Organisation for the Safety of Air Navigation, in Vienna, Austria.
Inseok Hwang, a professor, and AAE students Raj Deshmukh and Dawei Sun received the award in June for “Data-Driven Precursor Detection Algorithm for Terminal Airspace Operations.”
Modern surveillance systems make available detailed flight and airport information through on-board and ground recording systems. That data can be used for detecting and/or predicting outliers — anomalies — that hinder safe and efficient operations. The prediction of an anomaly is performed by identifying events that precede the occurrence of an anomaly, which are called precursors.
The paper proposed an algorithm that can identify precursors for flight anomalies through data-driven models designed with surveillance data recorded in the terminal airspace. The application of the proposed algorithm to real air traffic operations was demonstrated by detecting precursors of flight anomalies in the terminal airspace around the LaGuardia airport in New York City using real air traffic data.