Efficiency and fairness in air traffic control

Air Traffic Control Planning is a complex area of research in which there is a great need for new and efficient coordination techniques. The tight connection between several parties with different interests makes it a typical and challenging area for the application of multiagent techniques. We study the relation between two important underlying principles in airport traffic planning, namely utility and fairness. We model the problem as a multiagent resource allocation problem and show how one can improve on global utility and fairness if planning history is involved. We introduce three techniques using history and evaluate their performance by experiments.