Survey of Methods to Predict Controller Workload for Real-Time Monitoring of Airspace Safety

Abstract

The Real Time Safety Monitoring (RTSM) approach allows for assessment and prediction of the safety margin in the National Airspace System (NAS) to help preempt incidents and accidents, rather than having to reactively mitigate them. In RTSM, the NAS is modeled using state variables, and safety metrics are defined in terms of these state variables. The safety metrics have been classified as weather-related, airspace-related, and human-related. Many of the formulated human-related safety metrics need an estimate of the controller workload for their computation. However, this computation is not trivial. Hence, in this report, we perform a literature survey to identify the different factors that enable the computation of controller workload and categorize these factors. Next, we describe studies undertaken to determine a minimal set of factors that pro- vide a correct assessment of controller workload. Lastly, we survey approaches for evaluating how well the selected factors correlate with the controllers' subjective assessment of their workload. Based on this survey, we present factors beneficial to computing and predicting controller workload in real time, and discuss the status of data sources necessary for these computations.

Authors

• Roychoudhury, Indranil SGT, Inc.
• Spirkovska, Liljana NASA Ames Research Center
• Oconnor, Molly NASA Ames Research Center
• Kulkarni, Chetan SGT, Inc.

Keywords

• National Airspace System
• safety monitoring
• controller workload