Novel Artificial Situational Awareness System is Comparable with Human Situational Awareness in the En-route Air Traffic Control Domain (CROSBI ID 730863)
Prilog sa skupa u časopisu | izvorni znanstveni rad
Podaci o odgovornosti
Samardžić, Kristina ; Radišić, Tomislav ; Tukarić, Ivan ; Hermann, Ruth Esther Häusler
engleski
Novel Artificial Situational Awareness System is Comparable with Human Situational Awareness in the En-route Air Traffic Control Domain
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.
air traffic control ; Knowledge graph ; monitoring tasks ; Situation awareness
Transportation Research Procedia Volume 64, Issue C
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Podaci o prilogu
316-327.
2022.
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objavljeno
10.1016/j.trpro.2022.09.036
Podaci o matičnoj publikaciji
Transportation research procedia
Petrović, Marjana ; Dovbischuk, Irina ; Cunha, André Luiz
Elsevier
2352-1457
2352-1465
Podaci o skupu
International Scientific Conference “The Science and Development of Transport - Znanost i razvitak prometa” (ZIRP 2022)
predavanje
28.09.2022-30.09.2022
Šibenik, Hrvatska