Journal of Civil Aviation University of China ›› 2024, Vol. 42 ›› Issue (6): 39-45.

• Air Transportation Management • Previous Articles     Next Articles

Departure flight scheduling method under the condition of flight delay disturbance

XU Dongxu, ZHANG Rong
  

  1. Ministry of Education Key Laboratory of Road and Traffic Engineering of Tongji University, Shanghai 201800, China
  • Received:2023-03-27 Revised:2023-05-17 Online:2025-04-08 Published:2025-04-08

Abstract:

The takeoff process of a flight is affected by various uncertain factors, such as flight delay, scheduling delay and taxi
time, etc. A reliable and robust departure sequence is essential to the safe and efficient operation of the airport.
Firstly, the kernel probability density curve of flight delay is obtained by estimating the kernel density of flight delay historical data, and then the random number of flight delay is obtained by linear interpolation. Taking the random number of flight delay as input, a multi-runway departure flight scheduling model under the uncertain flight
delay is established, and a genetic algorithm for encoding flight number is designed to solve this model. On this basis, a multi-objective dynamic scheduling model under uncertain flight delay is further established, and a hybrid
algorithm is designed to solve this model. Monte Carlo simulation is performed on the results of the two models to
explore the impact of flight delay uncertainty on departure scheduling. Finally, taking the historical data of
Guangzhou Baiyun International Airport as an example, the model validation is conducted.

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