Pre-departure sequencing method in the terms of the dynamic growth of airports

The increase in air traffic requires organizational changes at the airport and near the airport. To ensure appropriate airport operating efficiency, it is becoming necessary to provide unobstructed flow of information between all parties involved in the process. Common decision-making process regarding operations carried out at an airport, based on legible information, may contribute to faster and more precise prediction of sequence of events. This article aims to present pre-departure sequencing method in the terms of the dynamic growth of airports. This method dynamically defines current sequencing of departing aircraft with consideration of time required to maintain minimum separation between subsequent take offs and evaluates runway occupancy regarding planned arrivals. Developed method uses criteria of reduction maximum delay on one handling position, which is starting runway in use. It is carried out by sequencing tasks, in accordance with non-decreasing requested times of completion. Greedy algorithm has been used to define sequence of carrying out take off operations based on the earliest possible time of the departure. Faced with dynamic growth of airports, this method may contribute to improvement of predictability of events, and thus facilitate proper decision making, which will allow managing airport traffic smoothly and without unnecessary downtimes.