• Project ID PJ33-W3 FALCO
  • Project duration 2021-01-01 > 2022-12-31
  • Cost
    • Total
    • EU Contr. EUR 5.315.206,77
  • Status Ongoing

Objectives

The overall objective of PJ.33 is to increase the (cost) efficiency of the air traffic management (ATM) in two different ways:

On one hand, the goal is to optimise air traffic control (ATC) capacity by investigating and validating technical and procedural means (building on researrch carried out in PROSA PJ.10) to re-organise the endorsement of air traffic controllers working in lower and upper area control service (explicitly excluding approach control service). Not only will this help to make better use of airspace but it will also result in a more efficient use of human resources. This will be achieved by introducing new endorsement rules, which are more based on traffic complexity, sector classes and the level of skills, experience and training a controller has received on a specific class of working environment and supporting system.

On the other hand, the efficiency of air-ground communication will be improved (e.g. maximum information throughput per minute) by investigating the technical enabler to broadly introduce the voice capability supported by L-Band Digital Aeronautical Communication System (LDACS) with the ultimate goal to replace analogue voice communications. Furthermore, the future air-ground terrestrial datalink (LDACS) will increase connectivity between air and ground that is essentially to support the future concepts, according to the Master Plan principles of service-orientation and scalability, and it will support also the resilience of aircraft navigation.

Falco Newsletter:

Find hereafter the newlsetters regulary published by FALCO project

Download FALCO Newsletter #1 (July 2021)

Participants

  • DLR (Coordinator)
  • NLR
  • DFS
  • DSNA
  • ENAIRE
  • ENAV
  • EUROCONTROL
  • Frequentis
  • HONEYWELL AEROSPACE
  • INDRA
  • LEONARDO
  • AIRTEL
  • NATS
  • SKYGUIDE
  • ATOS
  • HC
  • SAAB
  • SINTEF

This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017479

European Union