Tactical and strategic air traffic sequencing with minimum-fuel trajectories

The constantly growing air traffic has a negative impact on the environment, flight safety, and the staff workload.The solution to these problems might be new techniques of air traffic management, especially automatic sequencing of the arriving aircraft combined with optimal flight trajectories.This work aims to analyze the feasibility and optimality of automatic air traffic sequencing by using MILP and large datasets of real air traffic data.The results show that the appropriate formulation of the problem may lead to both suboptimal solutions for tactical planning purposes and optimal solutions for strategic and pre-tactical planning purposes.