한국항공운항학회지 (Journal of the Korean Society for Aviation and Aeronautics)

  • 제26권2호
  • /
  • Pages.39-46
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  • 2018
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  • 1225-9705(pISSN)
  • /
  • 2466-1791(eISSN)
한국항공운항학회 (The Korean Society for Aviation and Aeronautics)
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데이터 기반 항공기 지상 이동 시간 예측 알고리즘 개발

A Development of Data-Driven Aircraft Taxi Time Prediction Algorithm

  • 김소윤 (한국항공우주연구원 항공기체계부) ;
  • 전대근 (한국항공우주연구원 항공기체계부) ;
  • 은연주 (한국항공우주연구원 항공기체계부)
  • 투고 : 2018.05.18
  • 심사 : 2018.06.30
  • 발행 : 2018.06.30
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초록

Departure Manager (DMAN) is a tool to optimize the departure sequence and to suggest appropriate take-off time and off-block time of each departure aircraft to the air traffic controllers. To that end, Variable Taxi Time (VTT), which is time duration of the aircraft from the stand to the runway, should be estimated. In this paper, a study for development of VTT prediction algorithm based on machine learning techniques is presented. The factors affecting aircraft taxi speeds were identified through the analysis of historical traffic data on the airport surface. The prediction model suggested in this study consists of several sub-models that reflect different types of surface maneuvers based on the analysis result. The prediction performance of the proposed method was evaluated using the actual operational data.

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참고문헌

  1. Chester, G., "Kinematic Airport Surface Trajectory Model Development," The AIAA Aviation Technology, Integration, and Operations Conference, Reston, 2009.
  2. Stefan, R., Jun, C., Jason, A., Paul, S., and Edmund, K., "Aircraft taxi time prediction: comparisons and insights," Applied Soft Computing, 2014, pp. 397-406.
  3. Ioannis, S., and Hamsa, B., "A Queuing Model of the Airport Departure Process," Transportation Science, 2015.
  4. Jeong, M., Hong, S., Eun. Y., and Jeon, D., "Aircraft Taxi Time Prediction based on Node-Link Model," The Korean Society for Aeronautical and Space Sciences, Seoul, 2016.
  5. Eun, Y., Jeon, D., Lee, H., Jung, Y., Zhifan, Z., Jeong, M., Kim, H., Oh, and E., Hong, S., "Optimization of Airport Surface Traffic : A Case-study of Incheon International Airport," The American Institute of Aeronautics and Astronautics, 2017.
  6. Jeong, M., Lee. J., Eun. Y., and Jeon, D., "Node-Link Model Generation of Incheon International Airport," The Korean Society for Aeronautical and Space Sciences, Seoul, 2015.
  7. Jeong, M., Eun. Y., Kim. H., and Jeon, D., "A Study on Taxi Route Extraction Based on a Node-Link Model for Aircraft Movements on Airport Surface," Journal of the Korean Society for Aeronautical and Aeronautics, Vol.25, No.3, 2017, pp. 51-60.
  8. International Civil Aviation Organization, "Procedures for Air Navigation Services-Air Traffic Management," Doc 4444, ATM/501, 2015.

피인용 문헌

  1. Unimpeded Taxi-Time Prediction Based on the Node-Link Model vol.17, pp.10, 2018, https://doi.org/10.2514/1.i010823