In order to successfully and safely fly an RPAS in un-segregated airspace with a multi-aircraft and manned flight environment, within the procedural, regulatory and legal frameworks and existent air traffic control environment, the proposal addresses four main high level Demonstration Objectives:

  • OBJ-1. To quantify and demonstrate the level of maturity, performance, limitations and compatibility with current infrastructures and procedures, of detect and avoid technology and of technologies for secure C2L;
  • OBJ-2. To assess the impact RPAS integration into un-segregated airspace could have on safety, the RPAS pilot, Air Traffic Control Officers and ATM procedures and operations;
  • OBJ-3.To identify the similarities between the operation of RPASs and manned aircraft in the ATM environment, as well as specificities to RPAS operation in terms of constraints and new requirements for the ATM operations;
  • OBJ-4. To compare technological requirements between current (manned) flight operations and RPAS operations within the flight and air traffic management environments.

Furthermore, to define the success criterion and to relate the high level objectives of the proposal with the current standards in literature, the previous mentioned four high level objectives have been broken down as with respect to 4 relevant Key Performance Areas- KPAs, draw out from the 12 KPAs addressed within SESAR (11 Standard KPA coming from ICAO Doc 9883, plus an additional one, Human Performance).

The KPAs addressed in the project are:

  1. Human Performance – both the controller and the remote pilot will be assessed.
  2. Security – the impact the most probable security threats will be assessed during the demonstration campaign in order to highlight RPAS vulnerabilities.
  3. Safety – defined as the state in which the possibility of harm to persons or of property damage is reduced to, and maintained at or below, an acceptable level.
  4. Capacity – defined as the KPA that addresses “the ability of the ATM System to cope with air traffic demand in number and distribution through time and space.