PJ38-W3-ADSCENSIO – ADS-C ENables and Supports Improved ATM Operations
Status: ACTIVE

Title of Proposal:
SESAR-WAVE3-07-2020 – Downlinking Flight Trajectory to improve ATM performance
Decision:
PJ38-W3-ADSCENSIO – ADS-C ENables and Supports Improved ATM Operations
Grant Agreement number:
101017626 — H2020-SESAR-2020-2
Timeframe:
1 November 2020 – 31 December 2022 (26 months)
Project coordinator:
Air Navigation Services Directorate of the Republic of France (Direction des services de la navigation aerienne – DSNA)
Participants: AIRBUS, AIRTEL, DFS, ENAIRE, ENAV, EUROCONTROL, HONEYWELL AEROSPACE, HUNGAROCONTROL, INDRA, LEONARDO, NATS, PANSA, SKYGUIDE, ANS CR, LPS SR, ORO NAVIGACIJA, ATOS BELGIUM, FREQUENTIS, SAAB, SINTEF, BULATSA (as a related third party to ENAV) and others.
Project description:
The proposal is based on the general principle of Trajectory Based Operations (TBO), aimed at improving the various characteristics of air traffic control, thanks to better prediction of flight behavior.
During the execution of a flight, the main elements that supply the reliable trajectory forecast or alternative scenarios can be provided by the aircraft. Such elements are wind conditions, speed graph or trajectory forecasting, calculated by the aircraft navigation system itself, which includes a set of positions, altitude and time (“4 dimensions”).
Some aircraft used by European airlines already have the ability to send these items via a data communication application (datalink).
PJ.38 builds on previous SESAR initiatives and contributes in a focused way to the preparation of industrial implementation, as required by the Common Project 1 Implementing Regulation voted by the Single European Sky Committee in November 2020. The rules related to the Regulation provide ground systems for European Air Navigation Service Providers (ANSPs) to be able to use aircraft trajectory data requiring at least 45% of flights in Europe to have the capacity to share the trajectory at the end of 2027.
Objective:
The project aims to prove and demonstrate:Improvements that can be achieved in very common operational situations that relate to air traffic safety and efficiency and which situations air traffic controllers (ATCOs) need to manage.
The efficiency and stability of the technological infrastructure to support the communication of data between an aircraft and different ground users for exchange of trajectories.
The implementation of technical and operational solutions will primarily lead to a reduction in the workload of ATCOs at high traffic levels, thus increasing airspace capacity and air transport efficiency. As a result of supporting earlier ATCO decision-making, flight delays, fuel consumption and CO2 emissions per flight will be reduced. These are key elements in the perspective of reducing the environmental impact of aviation.
The participation of BULATSA
BULATSA started its participation in the project in January 2021. In accordance with the project objectives, BULATSA will contribute to the demonstration of the work of ADS-C (Automatic Dependent Surveillance – Contract) and its operational benefits. During a series of validations, real and emulated ADS-C data will be integrated in a simulation environment provided by BULATSA and with the participation of ATCOs from BULATSA. The exercise should demonstrate how ADS-C data could be used to improve the functionalities for trajectory prediction (TP) and conflict detection and resolution (CD&R).
BULATSA will participate in the preparation of the demonstration platform, the specification of the validation scenarios and the reference scenario (based on a database of actual flights), in the evaluation of the operational aspects of the project (including safety elements, human factor, predictability, capacity and efficiency). BULATSA will also analyze the results of the developed project decision.
In its work on the project, BULATSA, together with the activity partners, will present the benefits of the developed TESLA prototype (Tactical Encounter Solver Assistant) and its behavior in the simulated traffic. In addition to real ADS-C data, the GENETICS data generator could be set up to reproduce more aircraft with 4D capability.
In addition, the route compliance check has been studied and developed in PJ.18 SESAR Wave 2 and will contribute to the improvement of the upcoming validation operations in the current project.