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Fast Time and Real Time Validation of a Remain Well Clear Function for Airspace Classes D to G

Paper ID

SIDs-2022-083

Conference

SESAR Innovation Days

Year

2022

Theme

Unmanned Aerial Systems II

Project Name

SESAR 2020 ER4 project URClearED

Keywords:

detect and avoid, fast-time simulations, Human Performance, real-time simulations, remain well clear, remotely piloted aircraft systems

Authors

Gianluca Corraro, Federico Corraro, Umberto Ciniglio, Edoardo Filippone, Enric Pastor, Niklas Peinecke, Giuseppe Frau, Erik Theunissen and Chris Shaw

DOI

Project Number

892440

Abstract

A relevant step in the full seamless integration of Remotely Piloted Aircraft Systems (RPAS) in unsegregated airspace is the development of a Detect-And-Avoid (DAA) system that supports their insertion in airspace classes D to G, where the interaction of RPAS with aircraft flying Visual Flight Rules, possibly not transponder equipped, poses major challenges. These challenges mainly arise from the need to assure a level of safety, specifically against the risk of Mid-Air Collision events, as high as that currently characterising manned civil and commercial aviation. While a DAA system last resort is represented by the Collision Avoidance component, the Remain-Well-Clear (RWC) component acts as a Decision Support System to assist the Remote Pilot in preventing collision hazards. This paper discusses the results of fast-time and real-time simulations performed to validate a prototype RWC system for RPAS integration in European airspace classes D to G. The RWC functional and operational context was defined. Fast-time simulations were used to tune RWC system parameters such as the quantification of the well-clear volume and the time-to-alert. Real-time simulations evaluated how acceptable RWC functionality was for remote pilots and air traffic controllers. Future research activities are also proposed.