The future of aviation will have to be focused more and more around an environmentally sustainable improvement of aviation. This proposal constitutes the SESAR2020 Consortium Members’ combined response to the SESAR-W3-2020 Solutions found under the Industrial Research and Validation activities (IR) Topic 5–“Collaborative Management of TMA & Airport throughput” and under the Innovative Action (IA) SESAR-W3 Topic 6 “Integrated Runway Throughput and Terminal Efficiency (VLD-like)” as part of Very Large Scale Demonstrations (VLD). The call of these Topics 5 and 6 has been answered with a single, integrated proposal response. The proposal includes three Solutions: i. Solution track PJ37-W3-01 named "Integrated Runway Throughput and Terminal Efficiency" of Topic 06 ii. Solution track PJ37-W3-02 (Complement of PJ.07-W2-39 Collaborative framework managing delay constraints on arrivals) of Topic 5, and iii Solution track PJ37-W3-03 (Complement of PJ.01-W2-08 Dynamic E-TMA for Advanced Continuous Climb and Descent Operations and improved Arrival and Departure Operations) of Topic 5. Solution track PJ37-W3-01 will conduct a number of Real-Time Simulations (RTSs) and a Live Trial on two different operational environments one for departures and another one for arrivals, to demonstrate the benefits of the integrated TMA and runway throughput solutions; Solution track PJ37-W3-02 is a complementary activity and will perform a Validation Exercise involving Local DCB (FMP), Air space Users and an Airport Operator at CDG Aerodrome, directly contributing to the Solution data pack of Solution PJ.07-W2-39. The Solution track PJ37-W3-03 will support the PJ.01-W2-08 Solution data pack via a Real-Time Simulation of AMAN Arrival Streaming for Systemised, ideally using live trajectories, and a Shadow Mode Trial, RTSs on 3D-Departures and Optimized Descents and a study to reduce additional airborne times. The aim is to deliver a fast track towards deployment, maximize network performance by combining solutions to facilitate greener of aviation.

The fast penetration of automation and Artificial Intelligence (AI) is boosting the adoption of autonomous systems across industries. Known as digitalisation, this trend is also rapidly changing aviation. Indeed, driven by the increasing complexity of the entire aviation ecosystem (aircraft, air traffic control – ATC, airports), digitalisation provides solutions in the form of Digital Assistants (DAs) that, by teaming with their human counterparts (pilots, ATC operators, airport operators), support the execution of tasks to ensure safe and profitable operations in complex scenarios. JARVIS Consortium – led by Collins Aerospace – aims at developing and validating three ATM solutions: an Airborne DA (AIR-DA, TRL4), an ATC-DA (TRL4), and an Airport DA (AP-DA, TRL6). The AIR-DA will increase the level of automation in the flight deck and thanks to AI-based actions will act as enabler towards reduced crew operations and single pilot operations. The adoption of the AIR-DA will allow pilots to deal with complex scenarios without compromising safety, security, while reducing the pilot workload. The ATC-DA will increase the level of automation in control towers, where environmental KPIs and the capacity management of airspace will benefit from the adoption of AI-based technologies. Finally, the AP-DA will increase the level of automation in airports, enhancing safety and security for intrusion detection scenarios. The adoption of AI-driven technologies in the aviation ecosystem represents an appealing concept but entails challenges. JARVIS will address key challenges common to the three different DAs: i) assured AI design, to deliver trustworthy, explainable, safe, and ethical decision-making algorithms; ii) Human AI Teaming, to deliver human-centric designs to maximise the teamwork between humans and autonomous systems; iii) big data and cloud infrastructures for the proper management of data moving from a centralised architecture to a more edge-to-cloud architectures.

PEARL project aims at carrying out the SESAR performance management process, under the leadership of SESAR 3 JU. This implies to reconcile and map the performance assessments and results delivered by the R&I projects with the SESAR performance ambitions in the ATM Master Plan. To achieve this goal, PEARL Project will conduct the following activities: -A priori estimation of performance contributions from SESAR Solutions -Consolidation of performance assessments coming from SESAR Solutions to deliver PAGAR report -Provision support and guidance to Solutions through Communities of Practice (in performance domains as Operational Performance, Safety, (cyber) Security, Human Performance, Environment, CBA, Digitalisation and U-Space), as part of a Quality Assurance process -Conduct multi-SESAR Solution network impact simulations, looking for indications of cross-effects of joint deployment Complementarily, on specific request from SESAR 3 JU, PEARL project will maintain SESAR Performance Framework and related material, as well as providing support to Maturity Gates. It will also be flexible for the provision of additional ad-hoc activities, to be agreed with SESAR 3 JU.