Fuzzy Synthetic Assessment of Air Traffic Controllers Situational Awareness Based on Short-term Memory Measurement

Abstract

This paper presents an approach for evaluating air traffic controllers situational awareness (SA). In the approach, the relationship between situational awareness and short-term memory is analyzed, based on which, the factors for fuzzy synthetic assessment of controllers situational awareness are determined. And then, weighting coefficient is given for each factor by applying Analytic Hierarchy Process (AHP), and membership function for each factor is obtained in accordance with air traffic control rules and expertise, upon that the fuzzy assessment model is built. At last, an example is presented to demonstrate the proposed approach is useful and effective in selection, training and work load evaluation for air traffic controllers.