An optimization model for assessing flight technical delay

Jinn-Tsai Wong*, Sui Ling Li, David Gillingwater

*Corresponding author for this work

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

This paper identifies the causes as well as the practical measurement of aircraft flight delays. The performance of air traffic management is measured by examining technical delays and scheduled timetable delays, which are derived from a mathematical programming model. To validate the optimization model, flight delays are simulated under various service rules. The outcome of the simulation runs shows that the average delay for each aircraft estimated from the optimization model is marginally higher than that from the simulation run under the "first come first serve" rule. However, under the "arrival flight first" rule, the optimization model's results are either higher or lower than those of the simulation model. Nonetheless, both sets of simulated delays are strongly correlated with those of the optimization model. Results from regression analyses show that the optimization model has the capacity to predict flight technical delays.

Original languageEnglish
Pages (from-to)121-153
Number of pages33
JournalTransportation Planning and Technology
Volume25
Issue number2
DOIs
StatePublished - 1 Jun 2002

Keywords

  • Flight delay
  • Optimization model
  • Regression
  • Scheduled timetable delay
  • Simulation
  • Technical delay

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