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A bi-objective integer programming model for partly-restricted flight departure scheduling

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  • Han Zhong
  • Wei Guan
  • Wenyi Zhang
  • Shixiong Jiang
  • Lingling Fan

Abstract

The normal studies on air traffic departure scheduling problem (DSP) mainly deal with an independent airport in which the departure traffic is not affected by surrounded airports, which, however, is not a consistent case. In reality, there still exist cases where several commercial airports are closely located and one of them possesses a higher priority. During the peak hours, the departure activities of the lower-priority airports are usually required to give way to those of higher-priority airport. These giving-way requirements can inflict a set of changes on the modeling of departure scheduling problem with respect to the lower-priority airports. To the best of our knowledge, studies on DSP under this condition are scarce. Accordingly, this paper develops a bi-objective integer programming model to address the flight departure scheduling of the partly-restricted (e.g., lower-priority) one among several adjacent airports. An adapted tabu search algorithm is designed to solve the current problem. It is demonstrated from the case study of Tianjin Binhai International Airport in China that the proposed method can obviously improve the operation efficiency, while still realizing superior equity and regularity among restricted flows.

Suggested Citation

  • Han Zhong & Wei Guan & Wenyi Zhang & Shixiong Jiang & Lingling Fan, 2018. "A bi-objective integer programming model for partly-restricted flight departure scheduling," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0196146
    DOI: 10.1371/journal.pone.0196146
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    1. L. Bianco & P. Dell'Olmo & S. Giordani, 1999. "Minimizing total completion time subject to release dates and sequence‐dependentprocessing times," Annals of Operations Research, Springer, vol. 86(0), pages 393-415, January.
    2. Lucio Bianco & Salvatore Ricciardelli & Giovanni Rinaldi & Antonio Sassano, 1988. "Scheduling tasks with sequence‐dependent processing times," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(2), pages 177-184, April.
    3. Lieder, Alexander & Briskorn, Dirk & Stolletz, Raik, 2015. "A dynamic programming approach for the aircraft landing problem with aircraft classes," European Journal of Operational Research, Elsevier, vol. 243(1), pages 61-69.
    4. Jason A. D. Atkin & Edmund K. Burke & John S. Greenwood & Dale Reeson, 2007. "Hybrid Metaheuristics to Aid Runway Scheduling at London Heathrow Airport," Transportation Science, INFORMS, vol. 41(1), pages 90-106, February.
    5. J. E. Beasley & M. Krishnamoorthy & Y. M. Sharaiha & D. Abramson, 2000. "Scheduling Aircraft Landings—The Static Case," Transportation Science, INFORMS, vol. 34(2), pages 180-197, May.
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