Using the OpenSky ADS-B Data to Estimate Aircraft Emissions †

Antonio Filippone*, Nicholas Bojdo, Shreya Mehta, Ben Parkes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The OpenSky ADS-B/Mode-S databases have been fully integrated into a computational model that is used to estimate aircraft and rotorcraft engine emissions. This paper demonstrates the basis for the method and the generalisation to a wide class of aircraft types. First, we use mathematical operations (filters and machine learning) to clean up the data and generate first-order derivatives. Then, we “fly” these trajectories using ancillary databases and numerical methods, including models for gas turbine engine emissions (CO (Formula presented.), CO, NO (Formula presented.), SO (Formula presented.), H (Formula presented.) O, particulate matter). We show results for short-commuter flights (turboprop airplane), wide-body commercial aircraft, business jets, and helicopters. We demonstrate the main features, which include the ability to aggregate data depending on city-pairs, flight distance, and altitude distribution of emissions.

Original languageEnglish
Article number11
JournalEngineering Proceedings
Volume13
Issue number1
DOIs
Publication statusPublished - 2022

Keywords

  • ADS-B
  • aircraft emissions
  • flight performance
  • helicopter emissions

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