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Human-in-the-loop AI: Requirements on future (unified) air traffic management systems
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8862-7331
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Univ Sharjah, U Arab Emirates.
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2019 (English)In: 2019 IEEE/AIAA 38TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Intense drone traffic, exceeding human capabilities of manual control, is expected to occur during the last stage of Unified Traffic Management (UTM) and Unmanned Airspace System (UAS) service deployment in cities. In this paper, we discuss how humans and automation could collaborate to manage this airspace. We review theory on options for UTM airspace structure (volumes, points, networks, layers), machine learning, optimization, and human-automation collaboration. Based on simulation and visualization of two cities, we discuss four abilities: to discern traffic patterns, to recognize situations, to predict situational developments, and to function in varying conditions of rule-following habits of airspace users. We then discuss the challenge of collaborating though the use of advanced visual dashboards, for human-in-the loop AI but also for society-in-the-loop. Finally, we discuss how the challenge of humanautomation collaboration can be expected to shift, as the capabilities of the machine increases.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
IEEE-AIAA Digital Avionics Systems Conference, ISSN 2155-7195
Keywords [en]
Unified Traffic Management; Urban Traffic Management; UTM; Deep Learning; Optimization; Traffic management; Airspace design; Airspace management; Human-automation collaboration; HMI; Interface design; Cognitive Work Analysis
National Category
Information Systems
Identifiers
URN: urn:nbn:se:liu:diva-172224DOI: 10.1109/DASC43569.2019.9081674ISI: 000588253200062ISBN: 978-1-7281-0649-6 (electronic)OAI: oai:DiVA.org:liu-172224DiVA, id: diva2:1512901
Conference
IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA, sep 08-12, 2019
Note

Funding Agencies|University of Sharjah [1702040585-P]; Swedish Governmental Agency for Innovation Systems (VINNOVA)Vinnova

Available from: 2020-12-28 Created: 2020-12-28 Last updated: 2020-12-28

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Citation style
  • apa
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Output format
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