SciTransfer
NEEDED · Project

Data-Driven Noise and Emission Prediction Tools for Greener Airport Operations

transportTestedTRL 4

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.

By the numbers
11
consortium partners
30
weeks of pilot study
3
airports in pilot study
4
target TRL
The business problem

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.

The solution

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.

Audience

Who needs this

Airport OperatorsCivil Aviation AuthoritiesAircraft ManufacturersEnvironmental Impact ConsultantsUrban Planners
Business applications

Who can put this to work

Aviation Infrastructure
enterprise
Target: Airport Operator

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.

Environmental Consulting
SME
Target: Air Quality Auditor

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.

Aerospace Manufacturing
enterprise
Target: Aircraft Manufacturer

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.

Frequently asked

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.

Consortium

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.

How to reach the team

Contact AIT Austrian Institute of Technology GmbH

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for the NEEDED toolchain.

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