Toward Individual-Sensitive Automation for Air Traffic Control Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

Toward Individual-Sensitive Automation for Air Traffic Control Using Convolutional Neural Networks

Published:2020-07 Issue:3 Volume:28 Page:105-113
ISSN:2380-9450
Container-title:Journal of Air Transportation
language:en
Short-container-title:Journal of Air Transportation

Author:

van Rooijen S. J.¹,Ellerbroek J.¹,Borst C.¹,van Kampen E.¹

Affiliation:

1. Delft University of Technology, 2629 HS Delft, The Netherlands

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Management of Technology and Innovation,Management, Monitoring, Policy and Law,Energy (miscellaneous),Safety Research,Transportation,Aerospace Engineering

Reference37 articles.

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2. Tipping point: The narrow path between automation acceptance and rejection in air traffic management

3. BolicT. S. “Automation Adoption and Adaptation in Air Traffic Control,” Ph.D. Thesis, Univ. of California, Berkeley, 2006.

4. EhrmanntrautR. “Full Automation of Air Traffic Management in High Complexity Airspace,” Ph.D. Thesis, Technical Univ. of Dresden, Dresden, Germany, 2010.

5. Strategic Conformance: Overcoming Acceptance Issues of Decision Aiding Automation?

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