The slot allocation is to perform the flight schedule on a strategic level. The existing optimization methods of slot allocation mainly consider the necessary operating restrictions of airports from the perspective of airlines. It leads to the unreasonable spatial and temporal distribution of the adjusted flight schedule and the severe delay in the actual operation. In this paper, from the perspective of airline, airport and air traffic control, a flight slot optimization model for large crowded airports is proposed that aims at minimizing the displacement from airline request time slot. We consider the corridor capacity of the airport terminal area and the minimum release time interval of the air route for the first time, in addition to the necessary airport constraints such as airport capacity and turnaround time. Therefore, the potential delay will be reduced from the strategic level and more consistent with the actual operation situation. The proposed model is validated on data from Shanghai Pudong International Airport, China. Results show that the optimized flight schedule has a more reasonable spatial and temporal distribution and can reduce flight delays.

CICTP