Because the increasingly serious congestion of air traffic system is gradually expanding from the airports to the airspace, and merely depending on the traditional air traffic flow management-slot adjustment could not effectively solve such problem, a novel model for airspace flow program from time and space is developed in this paper. Through the application of the multi-objective generic algorithm, this NP_HARD model is performed with a simulation of the real scheduled flight data. According to the simulation results, within the reasonable time, departure time and flight route are optimized for all the aircrafts, and finally significantly reducing the air traffic congestion, realizing the whole "slot-route" distribution and optimal scheduling.
The Application of Multi-Objective Generic Algorithm in the Airspace Flow Program
Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China
29.07.2009
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
The Application of Multi-Objective Generic Algorithm in the Airspace Flow Program
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