Skip to main content

Air-ground Integration Dynamics in Exchange of Information for Control

  • Conference paper
New Concepts and Methods in Air Traffic Management

Part of the book series: Transportation Analysis ((TRANSANALY))

Summary

The world community of aviation operations is engaged in a vast, system-wide evolution of procedures, technologies and services that significantly affect human/system integration. The nature of this evolution is relaxation of restrictions in air transport operations wherever feasible. The relaxation includes schedule control, route control, and, potentially, separation authority in some phases of flight, for example aircraft self-separation in enroute. The dynamic concept of operations provides new challenge to the human operators of that system. The human operators (pilots, air traffic controllers, and airline operations personnel) must monitor system performance as they do now, but also predict the impact of the distribution of authority and control that might result as a function of the airspace configuration, aircraft state or equipage, and other operational constraints [9, 10]. In order to safely and effectively define the new process and procedures for this evolving concept, the human operator’s performance must be clearly and consistently included in the design of the new operation and of any automation aiding that is proposed to help the operators in their distributed activities. The experiment reported here was undertaken to characterize the impact of a shift in separation authority on controller performance in a complex center operation. Controllers managed simulated air traffic in the OCALA sector of the Jacksonville Center. Controllers managed the traffic under conditions of full positive ground control under two operating conditions and two levels of separation authority being ceded to aircraft. Measurements were made across a range of operational and operator variables. Significant differences in both operational and subjective measures were found in response to the primary manipulation of control authority.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Endsley, M. R., R., Mogford, K., Allendoerfer, M. D., Snyder, and E. S., Stein, “Effect of free flight conditions on controller performance, workload, and situation awareness: A preliminary investigation of changes in locus of control using existing technology”, (DOT/FAA/CT-TN 97/12) Federal Aviation Administration William J. Hughes Technical Center, Atlantic City, NJ, 1997.

    Google Scholar 

  2. Endsley, M., R., Sollenberger, and E., Stein, “The Use of Predictive Displays for Aiding Controller Situation Awareness”, The Proceedings of the Human Factors and Ergonomics Society, Houston, Texas, Sept. 1999.

    Google Scholar 

  3. Hollnagel, E., “The Context of Control”, Duxbury Press, 1993.

    Google Scholar 

  4. Hollnagel, E., G., Mancini, and D., Woods, “Cognitive Engineering in Complex Dynamic Worlds”, Academic Press, 1988.

    Google Scholar 

  5. Klein, G., “An Overview of Naturalistic Decision Making Applications”, in Naturalistic Decision Making, C. Zambok, and G. Klein, Editors, Lawrence Earlbaum, 1997.

    Google Scholar 

  6. Orasanu, J. and U., Fisher, “Finding Decisions in Natural Environments: The View from the Cockpit”, in Naturalistic Decision Making, C. Zambok, and G. Klein, Editors, Lawrence Earlbaum, 1997.

    Google Scholar 

  7. Rasmussen, J., “Skills, rules and knowledge: Signals, signs and symbols, and other distinctions in human performance models”, IEEE Transactions on Systems, Man, and Cybernetics, 13 (3) pp. 257–267, 1983.

    Article  Google Scholar 

  8. RTCA, Inc. Final report of RTCA task force 3, “Free flight implementation”, Washington, DC, 1995.

    Google Scholar 

  9. Wickens, C., A., Mayor, and J., McGee, “Flight to the Future: Human Factors in Air Traffic Control”, National Academy Press, Washington, D.C., 1997.

    Google Scholar 

  10. Wickens, C., A., Mayor, R., Parasuraman, and J., Mcgee, “The Future of Air traffic Control: Human Operators and Automation” National Academy Press, Washington, D.C., 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Corker, K.M., Fleming, K., Lane, J. (2001). Air-ground Integration Dynamics in Exchange of Information for Control. In: Bianco, L., Dell’Olmo, P., Odoni, A.R. (eds) New Concepts and Methods in Air Traffic Management. Transportation Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04632-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-04632-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07491-2

  • Online ISBN: 978-3-662-04632-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics