RA-1 Separation and associated CNS requirements

UAS Urban Environments

MOtivation

Separation between a given pair of drones is considered a safety barrier enabling operations in a given area of airspace. Therefore, separation management enables the safe accommodation of demand in a given airpace. Since drone operations are characterised for the diversity of performance, they require an approach to separation management flexible and adapted to the dynamic nature of CNS performance.

Objective

This transversal Research Area 1 aims at defining the role of separation between two vehicles within drone DCB process through strategic to tactical flight phases. From the statement of this role, RFA1 develops an approach to obtain a manageable separation object to be integrated in strategic DCB and tactical separation management.

Separation in drone DCB

Separation between two vehicles is not a fixed value, but a variable Dynamic Separation (DS) depending on various factors: 

  • Flight phase;
  • Type of airspace;
  • Airspace structure in place;
  • Vehicle characteristics/ flight performances;
  • Contingencies management;
  • Traffic mix;
  • CNS performance status;
  • Meteo, etc.


The level of dynamicity is to be tuned to avoid excessive complexity in the calculation of DSMinima (DSM), which is used along the DCB process to evaluate that Target Safety Level (TSL) is ensured so there is balance between demand and capacity.

Get in touch with us

We are planning to engage with other ATM-DTM researchers on separation. We also seek contact with drone operators, surveillance systems and GNSS service providers and telecom companies to validate assumptions and provide feedback on suitability of their performances to support DACUS urban scenarios.

Contact

Feel free to write us an email for suggestions, ideas and questions!

info@dacus-research.eu

Join Mailing list

Stay up to date on our progress, new downloads and  upcoming events!

OTher Groups

We encourage you to take a look at our other Research Focus Groups as well!