Predicting sector capacity for TFM

Proceedings of the 7th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2007

Volumn , Issue , 2007, Pages 104-113

  Song, Lixia ^a   Wanke, Craig ^a   Greenbaum, Daniel ^a  

^a MITRE CORPORATION   (United States)

Author keywords

Controller workload; Predictability; Sector capacity; Traffic complexity; Traffic flow management; Traffic flow pattern

Indexed keywords

ADVANCED TRAFFIC MANAGEMENT SYSTEMS; FLOW PATTERNS; RESEARCH AND DEVELOPMENT MANAGEMENT; TRAFFIC CONGESTION; TRAFFIC CONTROL;

PREDICTABILITY; SECTOR CAPACITY; TRAFFIC COMPLEXITY; TRAFFIC FLOW MANAGEMENT; TRAFFIC FLOW PATTERNS;

AIR TRAFFIC CONTROL;

EID: 84944747760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Enhanced Traffic Management System (ETMS Reference Manual Version 7.5 Report No. VNTSCDTS56-TMS-004, Volpe National Transportation Systems Center, U.S. Department of Transportation, November 2002.
2. EUROCONTROL, 2003, Pessimistic Sector Capacity Estimation, EUROCONTROL Experimental Centre Note No. 21/ 03, EUROCONTROL Experimental Centre, Brétigny-Sur-Orge, France.
3. Laudeman, I. V., C. L. Brasil, and R. Branstrom, " Air Traffic Control in Restructured Airspace: A Study in Tactical Decision Making," Power Point presentation, 1996.
4. Masalonis, A. J., et al., Operational complexity indicators for realtime TFM decision support: potential measures based on quantitative and operational analysis, MITRE working note WN02W0000047, The MITRE Corporation, McLean, VA, October 2002.
5. Masalonis, A. J., et al., " Indicators of Airspace Complexity for Traffic Flow Management Decision Support," 12th International Symposium on Aviation Psychology, Dayton, OH, 14-17 April 2003.
6. Mas alonis, A. J., M. B. Callaham, and C. R. Wanke, " Dynamic Density and Complexity Metrics for Realtime Traffic Flow Management," 5th USA/Europe Air Traffic Management Research and Development Seminar, Budapest, Hungary, 23-27 June 2003.
7. Kopardekar, P., Dynamic Density, A Review of Proposed Variables, Federal Aviation Administration William J. Hughes Technical Center, NAS Advanced Concept Branch (ACT-540), Atlantic City, NJ, 2000.
8. Kopardekar, P., and S. Magyarits, "Measurement and Prediction of Dynamic Density, " 5th USA/Europe Air Traffic Management Research and Development Seminar, Budapest, Hungary, 23-27 June 2003.
9. P fleiderer, E. M., " Development of an Empirically-Based Index of Aircraft Mix," 12th International Symposium on Aviation Psychology, Dayton, OH, 14-17 April 2003.
10. Chatterji, G., and B. Sridhar, "Measure for Air Traffic Controller Workload Prediction, " American Institute of Aeronautics and Astronautics (AIAA) 2001-5242, 1st AIAA Aircraft, Technology, Integration, and Operations Forum, Los Angeles, CA, 16-18 October 2001.
11. Laudeman, I. V., et al., Dynamic Density: An Air Traffic Management Metric, National Aeronautics and Space Administration (NASA) Technical Paper NASA/TM-1998-112226, NASA Ames Research Center, Moffett Field, CA, April 199 8.
12. Wyndemere, An Evaluation of Air Traffic Control Complexity, Final Report, Contract Number NAS2-14284, Wyndemere Incorporated, Boulder, CO, October 1996.
13. Holly, K., et al., Feasibility of Using Air Traffic Complexity Metrics for TFM Decision Support, MITRE technical report WTR02W0000055, The MITRE Corporation, McLean, VA, August 2002.
14. Speran dio, J. C., 1978, " The Regulation of Working Methods as a Function of Workload Among Air Traffic Controllers," Ergonomics, Vol. 21, No. 3, pp. 195-202.
15. Histon, J. M., et al., 2001, "In troducing Structural Considerations Into Complexity Metrics" , 4th USA/Europe Air Traffic Management Research and Development Seminar, Santa Fe, NM, 3-7 December 2001.
16. Klein, G., 1989, "Recognition-Primed Decisions " in William B. Rouse (ed.), Advances in Man-Machine System Research, Greenwich, CT: Jai Press, chapter 5, pages 47-92.
17. Song, L., Wanke, C. and Greenbaum, D., "Predicting Sector Capacity for TFM Decision Support, " American Institute of Aeronautics and Astronautics (AIAA) 2006-7827, 6th AIAA Aviation Technology, Integration, and Operations Conference, Wichita, Kansas, 25-27 September 2006.
18. Wanke, C. R., et al., " Modeling Traffic Prediction Uncertainty for Traffic Management Decision Support," AIAA Guidance, Navigation, and Control Conference and Exhibit, Providence, RI, 16-19 August 2004.
19. Histon, J., and R. J. Hansman, "The Impact of Cognitive Complexity Limits on ATC, " 1st MITRE/MIT technology exchange meeting, McLean, VA, 2004.
20. DeLaura, R. A., and Evans J. E., An Explorator y Study of Modeling Enroute Pilot Convective Storm Flight Deviation Behavior, National Aeronautics and Space Administration (NASA) Project Report NASA/A-6, MIT Lincoln Laboratory, Lexington, MA, June 2006.