Risk-Based Framework for the Integration of RPAS in Non-Segregated Airspace

Pérez–Castán, Javier A.; Rodríguez–Sanz, Álvaro

doi:10.5772/intechopen.90440

Cited by 1 publication

(1 citation statement)

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“…This framework was extended in [39], where a methodology for assuring the integrity and continuity of estimating these metrics was presented. A number of static and dynamic metrics were presented as part of a risk-based framework in [40]. A key finding that emerges from the review of the prior work is that surveillance and communication performance was not inherently accounted for in the early models.…”

Section: Prior Work In Collision Risk Modellingmentioning

confidence: 99%

A Unified Airspace Risk Management Framework for UAS Operations

Bijjahalli

Gardi

Pongsakornsathien

et al. 2022

Drones

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Collision risk modelling has a long history in the aviation industry, with mature models currently utilised in the strategic planning of airspace sectors and air routes. However, the progressive introduction of Unmanned Aircraft Systems (UAS) and other forms of air mobility poses new challenges, compounded by a growing need to address both offline and online operational requirements. To address the existing gaps in the current airspace risk assessment models, this article proposes a comprehensive risk management framework, which relies on a novel methodology to model UAS collision risk in all classes of airspace. This methodology inherently accounts for the performance of Communication, Navigation and Surveillance (CNS) systems, and, as such, it can be applied to both strategic and tactical operational timeframes. Additionally, the proposed approach can be applied inversely to determine CNS performance requirements given a target value of collision probability. This new risk assessment methodology is based on rigorous analysis of the CNS error characteristics and the transformation of the associated models into the spatial domain to generate a protection volume around each predicted collision. Additionally, a methodology to quickly and conservatively evaluate the multi-integral formulation of collision probability is introduced. The validity of the proposed framework is tested using representative CNS performance parameters in two simulation case studies targeting a terminal manoeuvring area and an enroute scenario, respectively.

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Section: Prior Work In Collision Risk Modellingmentioning

confidence: 99%