QUT ePrints

Evaluation of separation management algorithms in Class G airspace

Baumeister, Richard , Estkowski, Regina , Spence, Graham , & Clothier, Reece A. (2009) Evaluation of separation management algorithms in Class G airspace. In American Institute of Aeronautics and Astronautics Modeling and Simulation Technologies Conference, 10-13 August 2009, Hyatt Regency McCormick Place, Chicago.

View at publisher

Abstract

Use of Unmanned Aerial Vehicles (UAVs) in support of government applications has already seen significant growth and the potential for use of UAVs in commercial applications is expected to rapidly expand in the near future. However, the issue remains on how such automated or operator-controlled aircraft can be safely integrated into current airspace. If the goal of integration is to be realized, issues regarding safe separation in densely populated airspace must be investigated. This paper investigates automated separation management concepts in uncontrolled airspace that may help prepare for an expected growth of UAVs in Class G airspace. Not only are such investigations helpful for the UAV integration issue, the automated separation management concepts investigated by the authors can also be useful for the development of new or improved Air Traffic Control services in remote regions without any existing infrastructure. The paper will also provide an overview of the Smart Skies program and discuss the corresponding Smart Skies research and development effort to evaluate aircraft separation management algorithms using simulations involving realworld data communication channels, and verified against actual flight trials. This paper presents results from a unique flight test concept that uses real-time flight test data from Australia over existing commercial communication channels to a control center in Seattle for real-time separation management of actual and simulated aircraft. The paper also assesses the performance of an automated aircraft separation manager.

Impact and interest:

4 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 26893
Item Type: Conference Paper
Additional Information: Available online (www.aiaa.org), AIAA Paper Number: AIAA 2009-6126---
Additional URLs:
Keywords: Airspace management, Separation Assurance, Unmanned Aircraft Systems, UAS, Smart Skies
ISBN: 9781563479786
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > OTHER TECHNOLOGY (109900) > Technology not elsewhere classified (109999)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 American Institute of Aeronautics and Astronautics
Deposited On: 21 Aug 2009 07:45
Last Modified: 11 Aug 2011 03:34

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page