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 |
|
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. |
|
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. |
|
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. |
|
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. |
|
IR-3-06 |
Future human–machine teaming. |
|
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. |
|
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. |
|
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. |
|
IR-4-04 |
Airport solutions for reducing environmental impact of operations. This includes green-taxiing related concepts, environmental performance dashboards, etc. |
|
IR-4-05 |
Future human–machine teaming. |
|
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 |
|
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. |
|
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 |
|
AR-2 |
Definition of advanced U4 U-space services |
|
AR-3 |
Integration of the next generation aircraft for zero/low emission aviation |
|
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