6.2 Exploratory research priorities

AR-1: Research to help shape the future regulatory framework for a Digital European Sky

Focuses on supporting the evolution of the future regulatory framework to facilitate the implementation of the ATM Master Plan as well as the supporting actions identified in the EPAS. For example: methods to evaluate the performance of ATM/ANS ground equipment and determine appropriate assurance levels, the application of airspace classification in Single European Sky airspace, impact of automation on the air traffic controller role (evolution of the ATCO role from executor to supervisor), AI assurance, human factors, and safety risk mitigation.

AR-2: Definition of U4 U-space full services

Aims to explore the range of U-space services beyond U3, enabling the full potential of innovative air mobility (IAM) at scale.

AR-3: Integration of the next generation aircraft for zero/low emission aviation

Explores the ATM aspects of the integration of next-generation aircraft for zero-/low-emission aviation, as foreseen in the AZEA CONOPS (1) and the Clean Aviation JU programme (2).

FR-1: ATM impact on climate change

Aviation contributes significantly to greenhouse gas emissions and other pollutants that impact climate change. Understanding the exact magnitude of this impact, as well as the mechanisms involved, is essential for developing effective ATM optimisation strategies that consider the total climate impact of each flight and that can be automated. Accurate scientific data are necessary to develop evidence-based optimisation algorithms and rules aimed at reducing the environmental impact of aviation. Without comprehensive research, it’s challenging to implement measures that effectively balance, for example, the CO₂ vs non-CO₂ impacts.

FR-2: Digital flight rules

Focuses on the exploration and implementation of digital flight rules, a proposed new set of rules for an ATM system that would operate with significantly higher levels of automation for ground systems as well as autonomy for airborne systems. Indeed, higher levels of automation, autonomy and new data services may prompt the need for adjustments to rules such as PANS-OPS to ensure that new technologies support an increase in safety, compatibility, operational efficiency, and international harmonisation.

FR-3: Investigate quantum sensing and computing applied to ATM

Focuses on exploring the potential applications of quantum sensing and computing within ATM (e.g. cybersecurity, queue management, etc.). Quantum computing is a rapidly emerging technology and promises to revolutionise the computing landscape with its potential for high-speed and high-capacity data processing. In the context of ATM, quantum computing could significantly enhance the service-oriented architecture, improving efficiency and accuracy in air traffic control and management. This priority aims to position ATM to leverage advancements in quantum technology, ensuring that the sector stays at the forefront of technological innovation. It will involve studying the potential benefits and challenges of integrating quantum sensing and computing into ATM and developing strategies to implement this technology effectively.