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Congestion Pricing for Aircraft Pushback Slot Allocation

Author

Listed:
  • Lihua Liu
  • Yaping Zhang
  • Lan Liu
  • Zhiwei Xing

Abstract

In order to optimize aircraft pushback management during rush hour, aircraft pushback slot allocation based on congestion pricing is explored while considering monetary compensation based on the quality of the surface operations. First, the concept of the “external cost of surface congestion” is proposed, and a quantitative study on the external cost is performed. Then, an aircraft pushback slot allocation model for minimizing the total surface cost is established. An improved discrete differential evolution algorithm is also designed. Finally, a simulation is performed on Xinzheng International Airport using the proposed model. By comparing the pushback slot control strategy based on congestion pricing with other strategies, the advantages of the proposed model and algorithm are highlighted. In addition to reducing delays and optimizing the delay distribution, the model and algorithm are better suited for use for actual aircraft pushback management during rush hour. Further, it is also observed they do not result in significant increases in the surface cost. These results confirm the effectiveness and suitability of the proposed model and algorithm.

Suggested Citation

  • Lihua Liu & Yaping Zhang & Lan Liu & Zhiwei Xing, 2017. "Congestion Pricing for Aircraft Pushback Slot Allocation," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-15, January.
  • Handle: RePEc:plo:pone00:0170553
    DOI: 10.1371/journal.pone.0170553
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    References listed on IDEAS

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    4. Zhang, Anming & Zhang, Yimin, 2010. "Airport capacity and congestion pricing with both aeronautical and commercial operations," Transportation Research Part B: Methodological, Elsevier, vol. 44(3), pages 404-413, March.
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    Cited by:

    1. Yang, Lei & Yin, Suwan & Han, Ke & Haddad, Jack & Hu, Minghua, 2017. "Fundamental diagrams of airport surface traffic: Models and applications," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 29-51.

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