The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
The need for and conceptual design of an AI model-based Integrated Flight Advisory System
Abstract
Automation and an increasing level of autonomy are not novelties in aircraft cockpits. One of the main goals of automation in aviation is to increase pilots’ situation awareness (SA) and reduce their workload – both of high importance for a safe flight. Increasing automation has historically reduced aviation accident rates and improved efficiency. Yet, currently implemented systems have also contributed to accidents, when failed, or were insufficient to increase pilots’ SA for improving their decision-making. This paper discusses the need for an enhanced decision-support system and its potential benefits for safer aviation. A model-based decision support system that leverages artificial intelligence, Integrated Flight Advisory System (IFAS), is presented. Further, the conceptual design of this system is described. The overview and roadmap provided in this paper consist of an effort toward a more holistic, pilot-centered, AI-based decision-support that can contribute to safer aviation.
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Metadata
- Authors
- Ramos, M. A., Sankaran, K., Guarro, S., Mosleh, A., Ramezani, R., & Arjounilla, A.
- Venue
- Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
- Publisher
- SAGE Publications
- Published
- 2022-03-15
- Volume
- 237
- Issue
- 2
- Pages
- 485-507
- ISSN
- 1748-006X
- 1748-0078
- Cited by
- 5
- References
- 49
- Language
- en
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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- Ramos, M. A., Sankaran, K., Guarro, S., Mosleh, A., Ramezani, R., & Arjounilla, A. (2023). The need for and conceptual design of an AI model-based Integrated Flight Advisory System. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. https://doi.org/10.1177/1748006x221083379
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