Abstract This work aims to minimize the waiting time in the runway queue, by proposing a non-iterative real-time model, which can assist air traffic controllers in decision making in times of congestion on the ground at any airport. The model shows that the number of sequenced aircraft at the same time directly influences waiting times and makespan. In addition, factors such as landing time and operational restrictions modify the optimized sequencing as well as the waiting time of the aircraft on the ground. Particularly, the separation minima possibly become the major factor of influence when the SID is considered. Finally, by using Monte Carlo simulation it was possible to state that uncertainties related to taxiing time do not imply significant changes in the departure queue.
Highlights Taxiing time was found to be related to the number of aircraft taxiing. The quantity of aircraft sequenced at the same time directly influences the waiting times and the makespan. The optimized sequence will change according to the separation minima considered. Landings are the most influential variable in sequencing departure aircraft. Outside of the peak hour, the taxiing time will be the natural aircraft sequencer.
Optimization of the waiting time and makespan in aircraft departures: A real time non-iterative sequencing model
2019-06-20
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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