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Arrival Time Assignment by Dynamic Programming Optimization

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Air Traffic Management and Systems II

Abstract

Japanese airspace capacity must expand in order to accommodate the increased air traffic expected in the near future. Efficient air congestion management is a promising approach for achieving this goal. Arrival management for inbound flights to Tokyo International Airport, the busiest airport in Japan, is considered to be the most demanding challenge for efficient air congestion management. In this paper, a concept of arrival management based on multiple aircraft trajectory optimization is proposed and examined using the actual flight track data. At first, free-flight trajectory optimization is applied to the inbound flights landing on one of the two runways to simulate the most efficient ideal flights. Next, time separation constraints at a merging point on the boundary of the terminal area are imposed in order to avoid conflicts among the aircraft in the terminal area. As a result of the optimization, optimal sequencing and flight time adjustments are generated. Benefits of the proposed concept are evaluated by comparing the optimal trajectories with the corresponding actual flight trajectories. Dynamic programming is used for the optimization of each flight trajectory and scheduling of the arrival times. The obtained results reveal that in addition to safe arrival time separation, trajectory optimization with arrival time assignment produces substantial benefits in terms of fuel consumption and flight time.

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References

  1. JAPAN AIRLINES, “JAL REPORT 2015 (Annual report 2015),” 2015.

    Google Scholar 

  2. ANA HOLDINGS INC., “Annual report 2014,” 2014.

    Google Scholar 

  3. Federal Aviation Administration (FAA), “NextGen Implementation Plan,” June, 2013.

    Google Scholar 

  4. SESAR Joint Undertaking, “Roadmap for Sustainable Air Traffic Management, European ATM Master Plan, edition 2,” October 2012.

    Google Scholar 

  5. Ministry of Land, Infrastructure, Transport and Tourism (MLIT), Study Group for the Future Air Traffic Systems, “Long-term Vision for the Future Air Traffic Systems–Changes to Intelligent Air Traffic Systems,” 2010.

    Google Scholar 

  6. H. Matsuda, A. Harada, T. Kozuka, N. Wickramasinghe, Y. Miyazawa, “Analysis on Airliner Operational Efficiency with GPS Data Based Flight State Estimation and Flight Trajectory Optimization,” JSASS Western Branch Conference 2014, Fukuoka, Japan, 2014.

    Google Scholar 

  7. Y. Miyamoto, A. Harada, N. Wickramasinghe, Y. Miyazawa, K. Funabiki, “Evaluation Analysis on Airliner Operational Performance with Flight Trajectory Optimization using BADA Aircraft Performance Model,” JSASS Aerospace Technology Japan, vol.13, 2014, p.1–10.

    Google Scholar 

  8. Y. Miyamoto, N. Wickramasinghe, A. Harada, Y. Miyazawa, K. Funabiki, “Analysis of Fuel-Efficient Airliner Flight via Dynamic Programming Trajectory Optimization,” Trans. JSASS Aerospace Technology Japan, vol.11, 2013, p.93–98.

    Google Scholar 

  9. A. Harada, T. Kozuka., Y. Miyazawa, N. Wickramasinghe, M. Brown, and Y. Fukuda, “Analysis of Air Traffic Efficiency using Dynamic Programming Trajectory Optimization,” ICAS2014, St. Petersburg, Russia, 2014.

    Google Scholar 

  10. Y. Miyazawa, H. Matsuda, S. Shigetomi, A. Harada, T. Kozuka, “Potential Benefits of Arrival Time Assignment,” Eleventh USA/Europe Air Traffic Management Research and Development Seminar, Lisbon, Portugal, 2015.

    Google Scholar 

  11. Eurocontrol Experiment Center, “User Manual for the Base of Aircraft Data (BADA) Revision 3.11, EEC Technical/Scientific Report No.13/04/16-01,” 2013.

    Google Scholar 

  12. H. Totoki, T. Kozuka, Y. Miyazawa, K. Funabiki, “Comparison of JMA Numerical Prediction GPV Meteorological Data and Airliner Flight Data,” Trans. JSASS Aerospace Technology Japan, vol.12, 2013, p.57–63.

    Google Scholar 

  13. A. Harada, Y. Miyamoto, Y. Miyazawa, K. Funabiki, “Accuracy Evaluation of an Aircraft Performance Model with Airliner Flight Data,” Trans. JSASS Aerospace Technology Japan, vol.11, 2013, p.79–85.

    Google Scholar 

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Acknowledgments

This research is financially supported by the program of Ministry of Land, Infrastructure, Transport and Tourism in Japan for promoting technological development of transportation. The numerical weather prediction GPV data released by the Japan Meteorological Agency and handled by the Research Institute for Sustainable Humanosphere, Kyoto University and the BADA model developed by EUROCONTROL are effectively used to reconstruct flight parameters from surveillance information data and to optimize flight trajectories. These organizations’ support to the research is greatly appreciated.

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Correspondence to Haruki Matsuda .

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Matsuda, H., Harada, A., Kozuka, T., Miyazawa, Y., Wickramasinghe, N.K. (2017). Arrival Time Assignment by Dynamic Programming Optimization. In: Electronic Navigation Research Institute (eds) Air Traffic Management and Systems II. Lecture Notes in Electrical Engineering, vol 420. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56423-2_10

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  • DOI: https://doi.org/10.1007/978-4-431-56423-2_10

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-56421-8

  • Online ISBN: 978-4-431-56423-2

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