Multi-commodity flow network model of the flight gate assignment problem

Binod Maharjan, Timothy I. Matis

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

The flight gate assignment problem is encountered by gate managers at an airport on a periodic basis. This assignment should be made so as to balance carrier efficiency and passenger comfort, while providing buffers for unexpected events that cause assignment disruptions. In this paper, a binary integer multi-commodity gate flow network model is presented with the objective of minimizing the fuel burn cost of aircraft taxi by type and expected passenger discomfort for "tight" connections as a function of inter-gate distance and connection time. This approach is shown to be computationally efficient within a decomposition approach for large problem instances. A numerical application of this approach is given for the gating of Continental Airlines at George W. Bush Intercontinental Airport in Houston (IAH).

Original languageEnglish
Pages (from-to)1135-1144
Number of pages10
JournalComputers and Industrial Engineering
Volume63
Issue number4
DOIs
StatePublished - Dec 2012

Keywords

  • Combinatorial optimization
  • Flight gate assignment model
  • Flight scheduling
  • Integer programming
  • Multi-commodity network flow model

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