Optimal scheduling of airport ferry vehicles based on capacity network

Xue Han (), Peixin Zhao (), Qingchun Meng (), Shengnan Yin () and Di Wan ()
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Xue Han: Shandong University
Peixin Zhao: Shandong University
Qingchun Meng: Shandong University
Shengnan Yin: Shandong University
Di Wan: University of Victoria

Annals of Operations Research, 2020, vol. 295, issue 1, No 8, 163-182

Abstract: Abstract For daily airport operations, the insufficient number and the improper scheduling of ground support vehicles are the main causes of flight delays. In this paper, a novel network model is proposed to complement the optimal scheduling of ferry vehicles for the flight ground support service. In the process of model construction, we first innovatively construct a ferry vehicle capacity network by having the introduced virtual flights and the ferry vehicle depot as nodes, in which the directed edges indicate that the two nodes associated may be consecutively served by the same ferry vehicle. Based on the capacity network, a mixed integer programming model is constructed to minimize the number of ferry vehicles needed. In addition, this paper shows that the mixed integer programming is equivalent to a linear programming when the service start time of each flight is fixed, which makes the solving process more efficient, and the linear programming model can be applied to solve the minimum node-disjoint path cover of directed acyclic graphs. The efficiency and accuracy of the method are validated by the actual flight data obtained from Beijing Capital International Airport. This study will provide a methodological reference for the optimal scheduling of airport ferry vehicles.

Keywords: Ferry vehicle; Vehicle scheduling; Capacity network; Integer programming; Minimum path cover (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10479-020-03743-0

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