Imagine a GPS for planes and drones that doesn't just find the fastest route, but the cleanest and quietest one. It looks at wind, noise, and pollution in real-time to steer aircraft away from sensitive areas. It's like a smart traffic controller that balances the needs of a single drone with the flow of thousands of flights across Europe.
Aviation faces strict pressure to reduce CO2 and noise pollution, but lacks the tools to optimize flight paths in real-time based on environmental data. Current systems often ignore the micro-scale impact of drones and the macro-scale flow of air traffic simultaneously.
An online analytics platform featuring AI models for trajectory optimization, an air-quality model, and a set of environmental KPIs for aviation business models.
If you are a drone operator dealing with noise complaints and strict city regulations — this project developed a digital service that optimizes trajectories to minimize impact on communities. This helps you expand operations while staying compliant with green policies.
If you are an ATC provider dealing with increasing traffic congestion and emission targets — this project developed AI models that optimize macro-scale air traffic flow. This reduces the overall environmental footprint of the airspace you manage.
If you are a manufacturer dealing with the need to prove the sustainability of your new aircraft — this project developed environmental KPIs and simulation tools. You can use these to validate the real-world green performance of your vehicles.
Based on available project data, the specific pricing or cost for the end-user service is not mentioned; the project was supported by a EUR 4,034,527 EU contribution.
The project focuses on multi-scale European aviation and U-space services, utilizing large-scale simulations to assess impact, suggesting a design intended for regional industrial scaling.
Based on available project data, the specific licensing terms are not provided, though the project involves a consortium of 11 partners including 4 SMEs.
Yes, the platform is specifically designed to align with the EU’s Green Agenda and enable evidence-based Green policy making in the aviation sector.
The system is designed for data exchanges with U-space and existing air-traffic management (ATM) services to ensure interoperability.
The consortium is well-balanced for commercialization, featuring a 36% industry ratio with 4 SMEs and 4 larger industrial partners. With 11 partners across 8 countries, the project has a strong European reach, combining the academic rigor of 6 universities with practical industrial application, led by KTH Royal Institute of Technology.
Contact KUNGLIGA TEKNISKA HOEGSKOLAN in Sweden
Contact us to connect with the REFMAP consortium for early access to the analytics platform.
