A.9.2. Mapping development priorities against SRIA flagships

Development priority ID

Development action name

SRIA flagship

Industrial research

IR-1

Transformation to trajectory-based operations

IR-1-01

Integrated air–ground trajectory management based on ATS-B2 including the extension for lower airspace and airport surface

  • Air–ground integration and autonomy
  • Connected and automated ATM

IR-1-02

Development of FF-ICE, including FF-ICE pre-departure enhancement and FF-ICE/R2

Connected and automated ATM

IR-1-03

Advanced network trajectory synchronisation in the execution phase

Connected and automated ATM

IR-1-04

Connected and integrated flight management system (FMS), electronic flight bag (EFB) and flight operations centre (FOC) functionalities for trajectory optimisation

Air–ground integration and autonomy

IR-1-05

Dynamic route availability document (RAD) towards a RAD by exception environment

Connected and automated ATM

IR-2

Transition towards high performance of air–ground connectivity (multilink)

IR-2-01

Complete development of successor of VHF data link mode 2 (VDL-M2) (L-band digital aeronautical communications system (LDACS), hyper-connected ATM, satellite communications (SatCom) class A), covering civil–military dual utilisation.

  • Connected and automated ATM
  • Civil–military interoperability and coordination

IR-2-02

Aircraft as a sensor, including transmission of humidity information to ground, etc.

Air–ground integration and autonomy

IR-3

Future en-route and TMA ground platforms

IR-3-01

Addresses next generation ATC platform fully leveraging aircraft capabilities. This includes supporting a data-sharing service delivery model, resilient integrated communication, navigation and surveillance (CNS)/Meteo (MET) as a service, traffic synchronisation, etc. accommodating the specific needs of the military, innovative air mobility (IAM), higher airspace operations (HAO), and U-space, etc.

  • Connected and automated ATM
  • Virtualisation and cyber-secure data sharing
  • AI for aviation

IR-3-02

Artificial intelligence (AI) capabilities enabling the next generation platforms.

AI for aviation

IR-3-03

Cyber-resilience and cyber-security capabilities enabling the next generation platforms.

  • Virtualisation and cyber-secure data sharing
  • Civil–military interoperability and coordination

IR-3-04

Separation management for high levels of automation.

Connected and automated ATM

IR-3-05

Demand–capacity balancing (DCB) and airspace configuration concepts for high levels of automation.

  • Capacity on-demand and dynamic airspace
  • Civil/military interoperability and coordination

IR-3-06

Future human–machine teaming.

  • Connected and automated ATM
  • Capacity on-demand and dynamic airspace
  • AI for aviation

IR-3-07

Ground capabilities for reducing the ATM environmental footprint. This includes climate-optimised trajectories covering non-CO2 effects (e.g. contrails), environmentally optimised climb and descent operations, advanced required navigation performance green approaches, dynamic allocation of arrival and departure routes considering noise and local air quality, green ATC capacity concept, flexible eco-friendly clearances, wake energy retrieval (WER), integration of sustainable aviation fuel (SAF) and zero emissions aircraft, environmental performance dashboards, etc.

  • Connected and automated ATM
  • Aviation green deal

IR-3-08

Geometric altimetry

Connected and automated ATM

IR-3-09

CNS capabilities to increase ATM system robustness (e.g. satellite-based multilateration (MLAT)).

Connected and automated ATM

IR-4

Future airport platform

IR-4-01

Addresses the next generation airport platform fully leveraging aircraft capabilities. This includes supporting the data-sharing service delivery model, interconnected with other airports and their third parties (e.g. ground handlers), ANSPs, NM, CNS/MET as a service, etc. facilitating the accommodation of IAM, the interface with U-space as well as specific needs from the military.

  • Connected and automated ATM
  • Virtualisation and cyber-secure data sharing

IR-4-02

AI capabilities enabling the next generation of airport platforms.

AI for aviation

IR-4-03

Cyber-resilience and cybersecurity capabilities enabling the next generation of airport platforms.

  • Virtualisation and cyber-secure data sharing
  • Civil–military interoperability and coordination

IR-4-04

Airport solutions for reducing environmental impact of operations. This includes green-taxiing related concepts, environmental performance dashboards, etc.

  • Connected and automated ATM
  • Aviation green deal

IR-4-05

Future human–machine teaming.

  • Connected and automated ATM
  • Capacity on-demand and dynamic airspace
  • AI for aviation

IR-4-06

Optimisation of runway throughput.

Connected and automated ATM

IR-4-07

Smart airports, airports as multimodal nodes and the passenger experience.

Multimodality and passenger experience

IR-5

Autonomy and digital assistants for the flight deck

IR-5-01

Single-pilot operations (SiPO). This includes new sensors and aircraft architectures for the evolution towards SiPO/highly automated operations.

Air–ground integration and autonomy

IR-5-02

Increased automation assistance for the pilot for ATM tasks. This includes improved flight-deck human–machine interface (HMI) and procedures for CPDLC, voice-less technology, etc

  • Air–ground integration and autonomy
  • AI for aviation

IR-5-03

Highly automated ATM for all airspace users. This includes performance-based CNS enablers (assured navigation for robust ATM/CNS environment for all phases of flight, alternative position, navigation and timing (A-PNT), electronic conspicuity, sense and avoid, etc.), to facilitate the integration of advanced airborne automation and future ATC platforms, as well as accommodating IAM and interfacing with U-space.

Air–ground integration and autonomy

IR-5-04

Airborne capabilities for reducing ATM’s environmental footprint. This includes wake energy retrieval (WER), energy-based operations, environment-driven trajectory optimisation, etc.

  • Air–ground integration and autonomy
  • Aviation green deal

IR-6

U3 U-space advanced services, IAM and vertiports

IR-6-01

U3 U-space advanced services addressing aspects such as common altitude reference, collaborative interface with ATC, tactical conflict detection and resolution, fairness in strategic deconfliction, etc.

U-space and urban air mobility

IR-6-02

CNS capabilities for U-space which includes detect and avoid and collision avoidance for UAS, the use of mobile networks by U-space (including performance-based communication and surveillance services using mobile network infrastructure).

U-space and urban air mobility

IR-6-03

Extending the U-space ecosystem. This includes the use of U-space services by commercial aircraft, general aviation, crewed VCA, etc., and the use of U-space services outside U-space airspace.

U-space and urban air mobility

IR-6-04

Enabling IAM/VCA (crewed and uncrewed) operations, incl. in complex environments, congested areas and vertiports. This includes IAM operational procedures enabling access to all types of airspace and vertiports (both VMC and IMC) and IAM automation including simplified vehicle operations, automatic take-off and landing (TOL), resilient navigation, energy management, etc.

U-space and urban air mobility

Exploratory research

Applied research

AR-1

Research to help shape the future regulatory framework for a Digital European Sky

  • Connected and automated ATM
  • AI for aviation

AR-2

Definition of advanced U4 U-space services

  • U-space and urban air mobility

AR-3

Integration of the next generation aircraft for zero/low emission aviation

  • Air–ground integration and autonomy
  • Aviation green deal

Fundamental research

FR-1

ATM impact on climate change

Aviation green deal

FR-2

Digital flight rules

Connected and automated ATM

FR-3

Investigate quantum sensing and computing applied to ATM

Connected and automated ATM

Table 20: Mapping development priority to SRIA flagships