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Airport Taxi Situation Awareness with a Macroscopic Distribution Network Analysis

Author

Listed:
  • Jianan Yin

    (Nanjing University of Aeronautics and Astronautics
    Imperial College London)

  • Minghua Hu

    (Nanjing University of Aeronautics and Astronautics)

  • Yuanyuan Ma

    (The 28th Research Institute of China Electronics Technology Group Corporation)

  • Ke Han

    (Imperial College London
    Nanjing University of Aeronautics and Astronautics)

  • Dan Chen

    (Nanjing University of Aeronautics and Astronautics)

Abstract

This paper proposes a framework for airport taxi situation awareness to enhance the assessment of aircraft ground movements in complex airport surfaces. Through a macroscopic distribution network (MDN) of arrival and departure taxi processes in a spatial-temporal domain, we establish two sets of taxi situation indices (TSIs) from the perspectives of single aircraft and the whole network. These TSIs are characterized into five categories: aircraft taxi time indices (ATTIs), surface instantaneous flow indices (SIFIs), surface cumulative flow indices (SCFIs), aircraft queue length indices (AQLIs), and slot resource demand indices (SRDIs). The coverage of the TSIs system is discussed in detail based on the departure and arrival reference aircraft. A real-world case study of Shanghai Pudong airport demonstrates significant correlations among some of the proposed TSIs such as the ATTIs, SCFIs and AQLIs. We identify the most crucial influencing factors of the taxi process and propose two new metrics to assess the taxi situation at the aircraft and network levels, by establishing taxi situation assessment models instead of using two systems of multiple TSIs. The findings can provide significant references to decision makers regarding airport ground movements for the purposes of air traffic scheduling and congestion control in complex airports.

Suggested Citation

  • Jianan Yin & Minghua Hu & Yuanyuan Ma & Ke Han & Dan Chen, 2019. "Airport Taxi Situation Awareness with a Macroscopic Distribution Network Analysis," Networks and Spatial Economics, Springer, vol. 19(3), pages 669-695, September.
    • Handle: RePEc:kap:netspa:v:19:y:2019:i:3:d:10.1007_s11067-018-9402-5
    DOI: 10.1007/s11067-018-9402-5
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    References listed on IDEAS

    as
    1. Angel Marín & Esteve Codina, 2008. "Network design: taxi planning," Annals of Operations Research, Springer, vol. 157(1), pages 135-151, January.
    2. Ángel Marín, 2006. "Airport management: taxi planning," Annals of Operations Research, Springer, vol. 143(1), pages 191-202, March.
    3. Guépet, J. & Briant, O. & Gayon, J.P. & Acuna-Agost, R., 2016. "The aircraft ground routing problem: Analysis of industry punctuality indicators in a sustainable perspective," European Journal of Operational Research, Elsevier, vol. 248(3), pages 827-839.
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    Cited by:

    1. Jianan Yin & Yuanyuan Ma & Yuxin Hu & Ke Han & Suwan Yin & Hua Xie, 2021. "Delay, Throughput and Emission Tradeoffs in Airport Runway Scheduling with Uncertainty Considerations," Networks and Spatial Economics, Springer, vol. 21(1), pages 85-122, March.

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