Imagine thousands of drones flying over a city like bees. This work creates a way to measure exactly how much noise and visual clutter they cause for people on the ground. It helps city planners figure out where drones can fly without ruining the neighborhood's peace and quiet.
Drone operators face public backlash and regulatory hurdles due to noise and visual pollution. There is currently no precise way to measure how these factors affect different groups of people in a city.
A performance framework, an impact assessment toolset, a case study report, and a SESAR Solution Data Pack.
If you are a delivery company dealing with public complaints about noise — this project developed a toolset that models noise footprints. This allows you to plan flight paths that avoid the most sensitive residential areas.
If you are a city authority dealing with the arrival of air taxis — this project developed a set of performance indicators to measure quality of life. You can now quantify how many citizens are exposed to visual pollution based on their age or socioeconomic profile.
If you are a software firm dealing with airspace management — this project developed a Solution Data Pack for SESAR. This enables you to offer a service that optimizes drone flights to minimize negative social effects.
Based on available project data, no pricing or cost information is provided as this was a research and innovation project.
The project is designed for wide-scale urban air mobility and targets over 260 European cities with populations exceeding 300,000.
Based on available project data, specific licensing terms are not mentioned, but the results are consolidated into a SESAR Solution for future transfer.
It provides a rigorous assessment of noise and visual pollution, giving regulators the data needed to set limits on drone operations in urban areas.
The project period runs from 2023-06-01 to 2025-11-30, suggesting the final results will be ready by late 2025.
The consortium consists of 6 partners across 4 countries (BE, ES, FR, RS). It has a balanced mix of 33% industry representation, including 2 SMEs, alongside 2 universities and 1 research organization, ensuring a bridge between academic measurement and commercial application.
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