Volume 44 Issue 11
Nov.  2018
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JIANG Yu, XU Cheng, CAI Mengting, et al. Joint scheduling of both taxiway and gate re-assignment based on bi-level programming model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(11): 2437-2443. doi: 10.13700/j.bh.1001-5965.2018.0123(in Chinese)
Citation: JIANG Yu, XU Cheng, CAI Mengting, et al. Joint scheduling of both taxiway and gate re-assignment based on bi-level programming model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(11): 2437-2443. doi: 10.13700/j.bh.1001-5965.2018.0123(in Chinese)

Joint scheduling of both taxiway and gate re-assignment based on bi-level programming model

doi: 10.13700/j.bh.1001-5965.2018.0123
Funds:

National Natural Science Foundation of China U1333117

More Information
  • Corresponding author: JIANG Yu, E-mail:jiangyu07@nuaa.edu.cn
  • Received Date: 12 Mar 2018
  • Accepted Date: 20 Apr 2018
  • Publish Date: 20 Nov 2018
  • With the rapid development of air transport industry, the growing demands of air traffic put forward higher requirements for airport operation efficiency. To improve the surface efficiency, a bi-level programming model with taxiing scheduling model as upper model and gate re-assignment model as lower model is established based on the analysis of the operating mechanism of the airport surface. The genetic algorithm is designed to solve the model. The proposed model is tested by simulation based on the real data of a major domestic airport. Gate re-assignment is carried out firstly and then scheduling taxiway in the manually strategy. The results show that, compared with the manually shceduling strategy that gate re-assignment is carried out first and then taxiway is scheduled, the disturbance value of gate is reduced by 26.3% and the total taxiing time is reduced by 24.79% with the proposed bi-level programming strategy. The operation efficiency of taxiway system and gate system are both improved. The joint scheduling strategy described in this article further improves the operation efficiency of the airport surface. It can provide theoretical guidance for the actual operation of the airport.

     

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