Minimization of Potential Air Conflicts through Speed Regulation

This paper addresses the speed regulation problem in air traffic management. Because global air traffic volume is continuously increasing, improvement in air traffic control has become a priority. During this decade, European and United States initiatives have been launched to design the future of air traffic management. One of their objectives is to increase air traffic density and optimize flight route plans. This can be achieved through en route deconfliction. Air conflicts have the potential to occur when two or more aircraft are predicted to be below a separation norm in the near future. Such situations affect air traffic controllers' workload; thus, these situations limit controllers' capacity to deal with large numbers of aircraft and induce flight delay. Reducing air traffic controllers' potential workload through speed regulation has been investigated in the En Route Air Traffic Soft Management Ultimate System project. Efficiency of the method has been validated through simulations, including human-in-the-loop experiments, which opens the door to conflict resolution algorithms based on speed regulation. In this paper a formulation for the speed regulation problem is proposed. First, a potential conflict detection and resolution framework is presented. Uncertainty is then introduced in the model, with the aim of reproducing realistic air navigation conditions. A case study of real air traffic instances is described, and results are discussed to assess the potential of the proposed algorithm.