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Dynamic Air Traffic Slot-Route Simulation Optimization Based on Genetic Algorithms

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2 Author(s)
Zhu Cheng-Yuan ; Coll. Of Air Traffic Manage., Civil Aviation Univ. of China, Tianjin, China ; He Min

In ongoing efforts to reduce the congestion of the airspace and the cost of company, optimization stands as a fundamental research problem. This paper proposes a new method by establishing a SIMMOD simulate model and a controller workload objective function to address the dynamic slot-route assignment problem of the air traffic. Genetic Algorithms was used that offers a dynamic optimization required to produce the new flight plan by changing the slot of departure and the routes as a function of its essential parameters. The proposed method is illustrated with an example related to a congested airspace, lots of delay and high workload.

Published in:

E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on

Date of Conference:

7-9 Nov. 2010