Novel Artificial Situational Awareness System is Comparable with Human Situational Awareness in the En-route Air Traffic Control Domain

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.