Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-27183Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tukarić, Ivan | - |
| dc.contributor.author | Samardžić, Kristina | - |
| dc.contributor.author | Radišić, Tomislav | - |
| dc.contributor.author | Vetter, Celina | - |
| dc.date.accessioned | 2023-03-02T16:39:24Z | - |
| dc.date.available | 2023-03-02T16:39:24Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/27183 | - |
| dc.description.abstract | This paper presents the application of an existing situational awareness framework to a newly developed artificial intelligence system to determine its awareness level. The system incorporates diverse automation techniques - knowledge graph, expert rules, machine learning - for gaining situational awareness and applying it in the field of air traffic control. Since the system was developed to serve as a foundation for exploring automation and artificial situational awareness, the primary result of this work is the system’s overall awareness level assessment and the identification of sub-systems that may be improved for additional awareness. The framework used was chosen in the fundamental project documents and its use proved beneficial as it enabled the demonstration of how general guidelines can be interpreted for a specific system. It also informed possible routes for improvement of the process. Highest priority awareness-related improvements are those dealing with robustness, whose implementation would substantiate the current awareness assessment. The system is shown to be on the highest awareness level conditionally, considering its proof-of-concept level. The high level reached by the system is contingent on awareness concept and condition interpretations. With the appropriate assessment of the system, implementation in an operational environment is more feasible. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | IOP Publishing | de_CH |
| dc.rights | http://creativecommons.org/licenses/by/3.0/ | de_CH |
| dc.subject | Artificial situation awareness | de_CH |
| dc.subject | Air traffic control | de_CH |
| dc.subject | Knowledge graph | de_CH |
| dc.subject | Machine learning | de_CH |
| dc.subject.ddc | 380: Verkehr | de_CH |
| dc.title | Artificial situational awareness assessment of a novel ATC support system | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Zentrum für Aviatik (ZAV) | de_CH |
| dc.identifier.doi | 10.1088/1742-6596/2526/1/012099 | de_CH |
| dc.identifier.doi | 10.21256/zhaw-27183 | - |
| zhaw.conference.details | 12th EASN International Conference on "Innovation in Aviation & Space for opening New Horizons", Barcelona, Spain, 18-21 October 2022 | de_CH |
| zhaw.funding.eu | info:eu-repo/grantAgreement/EC/H2020/892618//AI Situational Awareness Foundation for Advancing Automation/AISA | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.start | 012099 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.volume | 2526 | de_CH |
| zhaw.publication.review | Not specified | de_CH |
| zhaw.title.proceedings | Journal of Physics: Conference Series | de_CH |
| zhaw.webfeed | Human Factors (ZAV) | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Tukaric-etal_Artificial-situational-awareness-assessment-novel-ATC-support-system_final.pdf | Published Version | 388.8 kB | Adobe PDF |  View/Open |
| 2022_Tukaric-etal_Artificial-situational-awareness-assessment-novel-ATC-support-system.pdf | Accepted Version | 312.46 kB | Adobe PDF |  View/Open |
Show simple item record
Tukarić, I., Samardžić, K., Radišić, T., & Vetter, C. (2023). Artificial situational awareness assessment of a novel ATC support system [Conference paper]. Journal of Physics: Conference Series, 2526, 12099. https://doi.org/10.1088/1742-6596/2526/1/012099
Tukarić, I. et al. (2023) ‘Artificial situational awareness assessment of a novel ATC support system’, in Journal of Physics: Conference Series. IOP Publishing, p. 012099. Available at: https://doi.org/10.1088/1742-6596/2526/1/012099.
I. Tukarić, K. Samardžić, T. Radišić, and C. Vetter, “Artificial situational awareness assessment of a novel ATC support system,” in Journal of Physics: Conference Series, 2023, vol. 2526, p. 012099. doi: 10.1088/1742-6596/2526/1/012099.
TUKARIĆ, Ivan, Kristina SAMARDŽIĆ, Tomislav RADIŠIĆ und Celina VETTER, 2023. Artificial situational awareness assessment of a novel ATC support system. In: Journal of Physics: Conference Series. Conference paper. IOP Publishing. 2023. S. 012099
Tukarić, Ivan, Kristina Samardžić, Tomislav Radišić, and Celina Vetter. 2023. “Artificial Situational Awareness Assessment of a Novel ATC Support System.” Conference paper. In Journal of Physics: Conference Series, 2526:12099. IOP Publishing. https://doi.org/10.1088/1742-6596/2526/1/012099.
Tukarić, Ivan, et al. “Artificial Situational Awareness Assessment of a Novel ATC Support System.” Journal of Physics: Conference Series, vol. 2526, IOP Publishing, 2023, p. 12099, https://doi.org/10.1088/1742-6596/2526/1/012099.
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