If you are an airport operator dealing with community noise complaints — this project developed a toolchain that predicts noise emissions using public ADS-B data. This allows you to optimize flight patterns to minimize the impact on the local population.
Data-Driven Noise and Emission Prediction Tools for Greener Airport Operations
Imagine being able to track a plane's noise and pollution just by using public flight tracking data, without needing secret files from the airline. It's like having a digital map that shows exactly how many people are bothered by noise in real-time. This helps airports design flight paths that keep the neighborhood quiet and the air clean.
What needed solving
Airports struggle to accurately measure the real-time impact of noise and pollution on local residents because they rely on static models or restricted airline data.
What was built
A data-driven toolchain that uses ADS-B flight data to predict noise and emissions. It includes a Traffic library for data pre-processing and dynamic population maps.
Who needs this
Who can put this to work
If you are an auditor dealing with inaccurate local air quality reports — this project developed improved pollution dispersion models. You can now provide more accurate estimates of how aircraft emissions affect the surrounding area.
If you are a manufacturer dealing with the certification of new, quieter engine technologies — this project extended the ECAC Doc 29 noise model to cover future aircraft. This helps you predict the noise reduction achieved by renewing the aircraft fleet.
Quick answers
What is the cost or price for implementing these tools?
Based on available project data, no pricing or cost information is provided as this is a research project funded by the EU.
Can this be scaled to any airport globally?
Yes, the toolchain uses publicly available ADS-B data, which allows for noise emission computations at almost any airport without needing private data from airlines.
Who owns the IP and how is it licensed?
Based on available project data, specific licensing terms are not mentioned, but the project involves 11 partners including 4 industry members.
How does this affect aviation regulations?
The project ensures impact on Air Traffic Management regulation and policies through the direct involvement of EUROCONTROL.
What is the timeline for deployment?
The project runs from 2023-01-01 to 2026-12-31, aiming for TRL 4 by the end of the period.
Who built it
The consortium is well-balanced for technology transfer, consisting of 11 partners across 9 countries. With a 36% industry ratio (4 companies, including 3 SMEs), there is a strong link between the 7 research and university entities and the commercial market. The inclusion of EUROCONTROL ensures the results are aligned with regulatory needs.
Contact AIT Austrian Institute of Technology GmbH
Talk to the team behind this work.
Contact us to explore licensing opportunities for the NEEDED toolchain.