Citation

Wong JT, Li SL, Gillingwater D. Transp. Plann. Tech. 2002; 25(2): 121-153.

Copyright

(Copyright © 2002, Informa - Taylor and Francis Group)

DOI

10.1080/03081060290033212

PMID

unavailable

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.