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Multi-Aviation Airspace Insights into Knowledge Technologies for Comprehensive Air Navigation
Teesside University, England.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2017 (English)In: 2017 IEEE/AIAA 36TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Increasingly crowded airspaces are bringing the attention of the aviation community since diverse users try to make use of a common airspace. The challenge is to identify and implement technologies to effectively but also efficiently manage an integrated multi-aviation airspace. This paper briefly presents a comprehensive synopsis of efforts to unify air navigation regulations so that the airspace can be effectively shared by multiple aviation pilots and aircraft. It recalls proposals to enable aviation sectors to coexist in the same airspace. The focus of this paper is on insights into Knowledge Technologies (KTs) to facilitate procurement and management of a shared multi-aviation airspace. It discusses challenges and opportunities when implementing KT solutions to facilitate the integration of different aviation capabilities for a shared airspace. The analysis presented selectively explores software engineering for bottom-up/top-down integration along with artificial intelligence traits such as knowledge representation. Concluding remarks and the way forward to foster KT solutions for integration of multiple aviation in a single airspace are also presented.

Place, publisher, year, edition, pages
IEEE , 2017.
Series
IEEE-AIAA Digital Avionics Systems Conference, ISSN 2155-7195
Keyword [en]
air traffic management; unmanned aerial system traffic management; airspace integration; knowledge technology
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:liu:diva-144002DOI: 10.1109/DASC.2017.8102107ISI: 000417412000120ISBN: 978-1-5386-0365-9 (print)OAI: oai:DiVA.org:liu-144002DiVA, id: diva2:1170207
Conference
36th IEEE/AIAA Digital Avionics Systems Conference (DASC)
Available from: 2018-01-02 Created: 2018-01-02 Last updated: 2018-01-13

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf