Hybrid Optimization of Arrival and Departure Flight Schedules

With the growth of air transport demand and the substantial increase of air transport volume, the airport flight schedule is becoming more and more intensive, even hard to find for a moment. As a result, some aircraft can not land or take off at the expected time. This paper studies the aircraft arrival scheduling problem in airports with multi-runways within the terminal area. It is different from the previous studies, according to the terminal area air traffic control operation rules, and this paper takes minimizing the total flight delay as the goal, considers the constraints of arrival point, flight schedule adjustment range, take-off interval and runway occupation time, establishes the flight schedule optimization model, and uses permutation coding method to solve the model using genetic algorithm. The results show that the proposed method can reduce the delay by 31.03% and improve the flight punctuality rate.