The dataset consists of data from August 17, 2020, received by the ADS-B equipment installed at the Purdue University Airport (KLAF). The FAA aircraft registration database is also provided to assist in merging with the ADS-B data using the hex identification code as a database key to identify the aircraft model, engine type, and other useful information. Because the ADS-B data does not provide any means of ground-truthing for phases of flight, one cannot determine the accuracy of the model when used with real data. Therefore, synthetic data is simulated with the initial phase label to provide a means of model validation. This synthetic data includes 1200 simulated flights. The time interval between points be regarded as seconds equivalently.

Researchers should cite this work as follows:

• Zhang, Q.; Mott, J. H. (2021). General Aviation Flight Phase Identification using Automatic Dependent Surveillance-Broadcast (ADS-B). Purdue University Research Repository. doi:10.4231/X0HZ-MF23

  BibTex | EndNote

1. ADS-B
2. Aviation Technology
3. Aviation Technology (Dept)
4. Clustering
5. Machine Learning

FAA registration data dictionary explanation could be looked up at the following link. https://www.faa.gov/licenses_certificates/aircraft_certification/aircraft_registry/media/ardata.pdf