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Enhanced jet performance model for high precision 4D flight path prediction

Published: 26 May 2011 Publication History

Abstract

High precision 4D flight path predictions are crucial for reliably optimizing the complex air traffic management and control system (ATM/ATC). The presented enhanced jet performance model provides a significant improvement over currently applied trajectory prediction methods. The use of analytical methods allows a high level of adoption of the real physical aircraft environment. This paper presents an analytical model of the aircraft performance and applies the findings to precisely predict fuel flow characteristics as fundamental parameter for trajectory planning. Further the model was implemented in an agent-based simulation to consider the stochastic atmospheric boundary conditions for the optimization of the real flight path. Thus, our presented research is a preliminary development considering the targets of the UTOPIA project within the SESAR Long-term and Innovative Research.

References

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E.G.Tulapurkara and V. Ganeshy, "Performance estimation of a typical subsonic jet transport airplane", 2007.
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W. Rumler, T. Günther, U. Weißhaar, and H. Fricke,. "Flight Profile Variations due to the Spreading Practice of Cost Index Based Flight Planning", 4th International Conference on Research in Air Transportation, Budapest, 2010
[3]
R. Mendez, "Trajectory Based Operations (TBO) Solution Set", Presentation to the 2009 I-CNS Conference, 2009
[4]
Performance Review Commission, Eurocontrol, "Performance Review Report 2009", 2010
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Eurocontrol Experimental Center, "Coverage of European Air Traffic by Base of Aircraft Data (BADA)", Revision 3.6, 2004
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Fairlough and D. McKeever, "PHARE Advanced Tools, Trajectory Predictor -- Final Report", Eurocontrol, 2000
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B. Gill and B. Maddock, "Experimental Flight Management System -- Prediction of Optimal 4D Trajectories in the Presence of Time and Altitude Constraints", Eurocontrol, 1997
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P.M. Peeters, J. Middel and A. Hoolhorst, "Fuel efficiency of commercial aircraft -- An overview of historucal and future trends", NLR, 2005
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J. Schiller, M. Kaiser, M. Schultz, and H. Fricke, "Impact of ocean currents on contrail formation on global scale", Eurocontrol Innovative ATM Research Workshop, 2010
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E. Schoeffmann, E. Platteau, and P. Ky, "Delivering green results -- A summary of European AIRE project results in 2009", SESAR Joint Undertaking, 2010
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S. Mondoloni, "Application of key performance indicators for trajectory prediction accuracy", CSSI Inc., Washington, DC, 2007
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M. Jacobsen, "On Improving Efficiency of Flight Using Optimization", Aeronaitical and Vehicle Engineering, Kunglia Tekniska högskolan, Stockholm, Sweden, 2009
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J. Gulding, D. Knorr, M. Rose, J. Bonn, R. Enaud, and H. Hegendoefer "US/Europe comparison of ATM-related operational performance -- An initial harmonized assessment by phase of flight", Eighth USA/Europe Air Traffic Management Research and Development, 2009
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H. Fricke and M. Schultz, "Delay Impacts onto Turnaround Performance", ATM Seminar 2009, Napa Valley, USA, 2009
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M. Schultz, "An individual-based model for passenger movement behavior in airport terminals" (in German), PhD thesis, Technische Universität Dresden, 2010
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M. Kaiser, "Enhanced Jet Performance Model", to be published

Cited By

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  • (2017)Air traffic simulation with 4D multi-criteria optimized trajectoriesProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242402(1-12)Online publication date: 3-Dec-2017

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Published In

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ATACCS '11: Proceedings of the 1st International Conference on Application and Theory of Automation in Command and Control Systems
May 2011
164 pages
ISBN:9781450315067

Sponsors

  • HALA!: Higher Automation Levels in ATM
  • Universidad Politecnica: Universidad Politecnica de Madrid, Spain

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Publisher

IRIT Press

Toulouse, France

Publication History

Published: 26 May 2011

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Author Tags

  1. 4D trajectory prediction
  2. analytical performance model
  3. automation
  4. flight efficiency

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  • Research-article

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ATACCS '11
Sponsor:
  • HALA!
  • Universidad Politecnica

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Overall Acceptance Rate 14 of 42 submissions, 33%

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  • (2017)Air traffic simulation with 4D multi-criteria optimized trajectoriesProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242402(1-12)Online publication date: 3-Dec-2017

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