Airbus UTM

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Building digital air traffic management solutions to enable the safe, scalable integration of uncrewed, sustainable aircraft

Airbus UTM - Digital Air Traffic Management

Airbus UTM enables digital and autonomous operations to ensure a safe, fair and efficient airspace

Our team is designing, developing and deploying the digital infrastructure and services necessary to enable increasingly autonomous aircraft to safely enter and share our future skies. Through continued research, simulation, and collaboration with both regulators and industry leaders, Airbus UTM is de-risking concepts of operations, prototyping solutions, and building digital tools to ensure that our future airspace is safe, efficient and fair as we integrate autonomous and digital operations.

By combining real-world data from drone and crewed aircraft operations, with the data sets and lessons learned from testing advanced services in USim, our simulation environment, Airbus is in a unique position to build out a sustainable UTM ecosystem - one that will work not just for today or tomorrow, but for decades to come.

Navigating the Future Skies through Advanced Simulation and Collaboration

As part of the Airbus organization, it is in our DNA to ensure that the UTM system we develop and deploy is designed to serve a broad spectrum of stakeholders for both today's airspace, and the increasingly complex and crowded airspace of tomorrow. Solving problems in an airspace that doesn’t yet exist is challenging - but simulating those conditions in a virtual environment is one way to understand and quantify how that future airspace will look and operate.

Airbus UTM’s proprietary simulation environment, USim, was built to explore how future airspace will operate. USim not only allows researchers to explore the unknown, but recent advances have made the technology a useful tool for the aerospace industry to understand and develop a safe and sustainable framework for our future skies. Airbus UTM’s USim provides a digital twin of each element in the UTM ecosystem. This digital twin technology allows UTM stakeholders to test individual services and verify interoperability between existing ones – all without the real-world consequences of system failures.

With advances in machine learning, researchers can also explore the properties of a trade space with greater efficiency. When stress testing a system, for example, machine learning facilitates identifying and exploring failure scenarios in simulation that would otherwise be difficult for researchers to anticipate.

Airbus UTM is fortunate to work with leading research institutions and government agencies to help build our future digital sky.

Check out our blog and publications for more in-depth details about Airbus UTM

How Deep Linking Provides Increased Accessibility for Uncrewed Systems into our Airspace

Airbus UTM Awarded Contracts to Join SESAR 3 in Advancing the Digital European Sky

As part of the greater Airbus Uncrewed Traffic Management (UTM) ecosystem, Acubed has been awarded three contracts to partner with the SESAR (Single European Sky ATM Research)…

Airspace Fairness: Rarely Discussed, But Foundational to the Adoption of UTM

With a myriad of new Uncrewed Aircraft Systems (UAS) taking flight, ensuring fair airspace access is a growing concern in the Air Traffic Management (UTM) ecosystem. Managing

Strategic Deconfliction Increases Operational Safety in Simulation

Air traffic is expected to increase significantly in the next two decades with the advancement of Unmanned Aircraft System (UAS) technology. While this will undoubtedly lead to…

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