Sage Journals: Discover world-class research

Abstract

To meet expected increases in domestic air traffic, the Federal Aviation Administration (FAA) will increase the level of automation in the domestic air traffic control (ATC) system. There is a need to assess the effects of the increased automation on controller workload and performance. Software-based engineering tools are needed to automate the analysis, allowing designers to identify potential problems early in the system design lifecycle. This paper describes one such tool, the Predictive Air Traffic Controller Analysis Model (PATCAM), a modeling and simulation analysis tool that uses a system operations concept and task attributes database, a controller activities model, a sector environment model and simulation engine, and a workload or performance model to predict the impact of system design changes on controller workload or performance.

Get full access to this article

View all access options for this article.

References

Borland International (1988), Turbo-C^TM Scotts Valley, CA: Author.

CTA INCORPORATED (1986), AERA 2 Operations Concept, Englewood, CO: Author.

CTA INCORPORATED (1987), FAA Air Traffic Control Operations Concept, Volume II: ACF/ACCC Terminal and En Route Controllers, Englewood, CO: Author.

FAA (1985), National Air-space System Plan: Facilities. Equipment, and Associated Development. Washington, DC: Author.

Lotus Development Corporation (1985), Lotus 123^TM , Cambridge, MA: Author.

Micro Analysis and Design (1985), MicroSAINT^TM , Boulder, CO: Author.

Murphy

E. D.

Reaux

R. A.

Stewart

L. J.

Coleman

W. D.

Bruce

(1989) Where's the workload in air traffic control?, Proceedings of the Fifth International Symposium on Aviation Psychology, Columbus, OH: Ohio State University.