Abstract
When events such as severe weather or congestion interfere with the normal flow of air traffic, air traffic controllers may implement plays that reroute one or more traffic flows. Currently, plays are assessed and selected based on controllers’ experience using the National Playbook, a collection of plays that have worked in the past. This paper introduces PlayMaker, a CBR prototype that replicates the Playbook and models how controllers select plays. This paper describes the PlayMaker design, a model validation, and discusses developments necessary for a full-scale CBR tool for this application.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
National Research Council: Flight to the Future: Human Factors in Air Traffic Control. National Academy Press, Washington, DC (1997)
Federal Aviation Administration: Air Traffic Control System Command Center National Severe Weather Playbook. Retrieved February 29, 2004 from the World Wide Web: http://www.fly.faa.gov/PLAYBOOK/pbindex.html (2004)
Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Artificial Intelligence Communications 7, 39–59 (1994)
Bonzano, A., Cunningham, P.: Hierarchical CBR for Multiple Aircraft Conflict Resolution in Air Traffic Control. In: Proceedings of the European Conference on Artificial Intelligence, vol. 13, pp. 58–62. John Wiley and Sons, Hoboken (1998)
Bonzano, A., Cunningham, P., Meckiff, C.: ISAC: A CBR System for Decision Support in Air Traffic Control. In: Afrati, F.N., Kolaitis, P.G. (eds.) ICDT 1997. LNCS, vol. 1186, pp. 44–57. Springer, Heidelberg (1996)
Logi, F., Ritchie, S.G.: A Multi-Agent Architecture for Cooperative Inter-Jurisdictional Traffic Congestion Management. Transportation Research Part C 10, 507–527 (2002)
Esteem Software Incorporated: Esteem Version 1.4. Stottler Henke Associates, San Mateo, CA (1994)
Bunke, H., Messmer, B.: Recent Advances in Graph Matching. International Journal of Pattern Recognition and Artificial Intelligence 11, 169–203 (1997)
Bandini, S., Manzoni, S.: Application of Fuzzy Indexing and Retrieval In Case Based Reasoning For Design. In: Proceedings of the 16th ACM SAC Symposium on Applied Computing, pp. 462–466. ACM Press, New York (2001)
Main, J., Dillon, T.: A Neuro-Fuzzy Methodology for Case Retrieval and an Object- Oriented Case Schema for Structuring Case Bases and their Application to Fashion Footwear Design. In: Pal, S.K., Dillon, T.S., Yeung, D.S. (eds.) Soft Computing in Case Based Reasoning, Springer, London (2001)
Watson, I.: A Case Study of Maintenance of a Commercially Fielded Case-Based Reasoning System. Computational Intelligence 17, 386–398 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Allendoerfer, K.R., Weber, R. (2004). PlayMaker: An Application of Case-Based Reasoning to Air Traffic Control Plays. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-28631-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22882-0
Online ISBN: 978-3-540-28631-8
eBook Packages: Springer Book Archive