Simulation and modelling tools for quantitative safety assessments of unmanned aircraft systems and operations

Mcfadyen, Aaron, Martin, Terrance, & Mejias, Luis (2016) Simulation and modelling tools for quantitative safety assessments of unmanned aircraft systems and operations. In IEEE Aerospace Conference 2016, 5-12 March 2016, Yellowstone Conference Center, Big Sky, Montana.

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This paper presents two simple simulation and modelling tools designed to aid in the safety assessment required for unmanned aircraft operations within unsegregated airspace. First, a fast pair-wise encounter generator is derived to simulate the See and Avoid environment. The utility of the encounter generator is demonstrated through the development of a hybrid database and a statistical performance evaluation of an autonomous See and Avoid decision and control strategy. Second, an unmanned aircraft mission generator is derived to help visualise the impact of multiple persistent unmanned operations on existing air traffic. The utility of the mission generator is demonstrated through an example analysis of a mixed airspace environment using real traffic data in Australia. These simulation and modelling approaches constitute a useful and extensible set of analysis tools, that can be leveraged to help explore some of the more fundamental and challenging problems facing civilian unmanned aircraft system integration.

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ID Code: 94452
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Unmanned Aircraft, Encounter Generation, Encounter Models, Risk Assessment
ISBN: 9781467376761
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 IEEE
Deposited On: 06 Apr 2016 01:30
Last Modified: 21 Aug 2016 23:18

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