The need for and conceptual design of an AI model-based Integrated Flight Advisory System

Marilia A Ramos, Karthik Sankaran, Sergio Guarro, Ali Mosleh, Ramin Ramezani and Adrian Arjounilla

Journal of Risk and Reliability, 2023, vol. 237, issue 2, 485-507

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.

Keywords: Aviation; autonomy; automation; decision-support; artificial intelligence (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1748006X221083379 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:237:y:2023:i:2:p:485-507

DOI: 10.1177/1748006X221083379

Access Statistics for this article

More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().