For access to this article, please select a purchase option:
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Your recommendation has been sent to your librarian.
With the increasing demand of flight Schedule, it’s urgent to adopt strategic traffic management means to optimize the flight schedule. The purpose is to decrease the latent balance between requirement and capacity of airport. Under the premise of decreasing flight delays, the multi-airport schedule optimization and dynamic flight queuing model and improved iterative optimization algorithm that reduced flight delays while reducing interference with airline timetable were established and applied this models and algorithm to the Beijing multi-airport system. The results show that the total flight adjustment of the Beijing multi-airport system is 1135 and the maximum adjustment is 37 without the elimination of flights, aircraft connection or passenger transfer. Therefore, at some airports which capacity expanision and increasing in operational efficiency are not possible, jam and delay problem can be alleviate in the short and medium terms across schedule optimization of multi-airport system.
Inspec keywords: optimisation; scheduling; iterative methods; air traffic; queueing theory; airports
Subjects: Interpolation and function approximation (numerical analysis); Queueing theory; Optimisation techniques; Systems theory applications in transportation