Multi-runway collaborative scheduling optimization of aircraft landing

In order to make an efficient tactical decision in air traffic management, a collaborative aircrafts scheduling problem(CASP) was studied.Based on the idea of collaborative decision-making, an optimization model was proposed for CASP with interests of air traffic control(ATC), airlines and airports.With security constraint and equity constraint, the model minimized the total delay cost to find out optimal scheduling schemes.The equity constraint was set up by using Gini coefficient so as to deal with the relationship with efficiency.An idea of equivalent flight was introduced to analyze equity quantitatively.A genetic arithmetic was designed to solve the proposed model.Simulation result shows that compared with the computational result of first-come-first-served(FCFS), total delay cost is saved by 72.6%, maximal flight delay time is reduced by 50.8%, so the safety and efficiency of scheduling scheme are improved, and the proposed method is feasible.