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

Abstract

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.