Novel artificial situational awareness system is comparable with human situational awareness in the en-route air traffic control domain

Samardžić, Kristina; Radišić, Tomislav; Tukarić, Ivan; Häusler Hermann, Ruth Esther

doi:10.1016/j.trpro.2022.09.036

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27046

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	Novel artificial situational awareness system is comparable with human situational awareness in the en-route air traffic control domain
Authors:	Samardžić, Kristina Radišić, Tomislav Tukarić, Ivan Häusler Hermann, Ruth Esther
et. al:	No
DOI:	10.1016/j.trpro.2022.09.036 10.21256/zhaw-27046
Published in:	Transportation Research Procedia
Volume(Issue):	64
Page(s):	316
Pages to:	327
Conference details:	International Conference "The Science and Development of Transport - Znanost i razvitak prometa" (ZIRP), Šibenik, Croatia, 28-30 September 2022
Issue Date:	2022
Publisher / Ed. Institution:	Elsevier
ISSN:	2352-1465
Language:	English
Subjects:	Situation awareness; Knowledge graph; Air traffic control; Monitoring task
Subject (DDC):	380: Transportation
Abstract:	AISA project introduces human-machine distributed situational awareness (SA) in en-route air traffic control. This paper is a result of the project's preliminary study. As a part of the project, a comparison between artificial and human situational awareness is performed. To investigate if the artificial SA could undistractedly monitor traffic, air traffic controller (ATCO) tasks are defined within Knowledge Graph (KG) system. KG system serves as a database with the ability to define relationships between data points. Human-in-the-loop simulations were performed to acquire needed data. ATCOs conducted different traffic scenarios which were later analysed and assessed regarding SA indicators defined in the paper. Tasks defined within the KG-based system can produce artificial SA that can successfully identify and complement all human SA degradation occurrences, contributing to Team SA. Therefore, defined tasks are sufficient to apply to the traffic data and to produce adequate machine SA.
Further description:	This paper is part of the AISA project, which has received funding from the SESAR Joint Undertaking under grant agreement No 892618 under European Union’s Horizon 2020 research and innovation program. Further information: - https://aisa-project.eu/dissemination.php - https://aisa-project.eu/downloads/AISA_D5.2.pdf
URI:	https://digitalcollection.zhaw.ch/handle/11475/27046
Fulltext version:	Published version
License (according to publishing contract):	CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Departement:	School of Engineering
Organisational Unit:	Centre for Aviation (ZAV)
Appears in collections:	Publikationen School of Engineering

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Samardžić, K., Radišić, T., Tukarić, I., & Häusler Hermann, R. E. (2022). Novel artificial situational awareness system is comparable with human situational awareness in the en-route air traffic control domain [Conference paper]. Transportation Research Procedia, 64, 316–327. https://doi.org/10.1016/j.trpro.2022.09.036

Samardžić, K. et al. (2022) ‘Novel artificial situational awareness system is comparable with human situational awareness in the en-route air traffic control domain’, in Transportation Research Procedia. Elsevier, pp. 316–327. Available at: https://doi.org/10.1016/j.trpro.2022.09.036.

K. Samardžić, T. Radišić, I. Tukarić, and R. E. Häusler Hermann, “Novel artificial situational awareness system is comparable with human situational awareness in the en-route air traffic control domain,” in Transportation Research Procedia, 2022, vol. 64, pp. 316–327. doi: 10.1016/j.trpro.2022.09.036.

SAMARDŽIĆ, Kristina, Tomislav RADIŠIĆ, Ivan TUKARIĆ und Ruth Esther HÄUSLER HERMANN, 2022. Novel artificial situational awareness system is comparable with human situational awareness in the en-route air traffic control domain. In: Transportation Research Procedia. Conference paper. Elsevier. 2022. S. 316–327

Samardžić, Kristina, Tomislav Radišić, Ivan Tukarić, and Ruth Esther Häusler Hermann. 2022. “Novel Artificial Situational Awareness System Is Comparable with Human Situational Awareness in the En-Route Air Traffic Control Domain.” Conference paper. In Transportation Research Procedia, 64:316–27. Elsevier. https://doi.org/10.1016/j.trpro.2022.09.036.

Samardžić, Kristina, et al. “Novel Artificial Situational Awareness System Is Comparable with Human Situational Awareness in the En-Route Air Traffic Control Domain.” Transportation Research Procedia, vol. 64, Elsevier, 2022, pp. 316–27, https://doi.org/10.1016/j.trpro.2022.09.036.