April 02, 2012, 10:30, Room GC B3 30 (click here for the map)
We address the speed regulation problem in air traffic management. As global air traffic volume is continuously increasing, it has become a priority to improve air traffic control in order to deal with future air traffic demand. During this decade, European and United States initiatives were 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. Potentials air conflicts occur when two or more aircraft are predicted to be below a separation norm in a near future. Such situations highly affect air traffic controllers’ workload thus limiting their capacity to deal with great numbers of aircraft and inducing flight delay. Reducing air traffic controllers’ potential workload through speed regulation has been investigated in the En-Route Air traffic Soft Management Ultimate System (ERASMUS) project. Efficiency of the method has been validated through simulations including humanin- loop experiments thus opening the door to conflict resolution algorithms based on speed regulation. We propose an optimization-oriented formulation for the speed regulation problem. We start by presenting a potential conflict detection and resolution framework. Uncertainty is then introduced in the model, aiming at reproducing realistic air navigation conditions. We conclude with a case study on real air traffic instances and results are discussed to assess the potential of the proposed algorithm.
David Rey is a PhD candidate in Operations Research at the Transport and Traffic Engineering Laboratory (LICIT) at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) in Lyon (France). He obtained a Master degree in Applied Mathematics at the Pontifical Universidade Catolica (PUC) in Rio de Janeiro and started a PhD thesis in OR applied to air traffic management in September 2009. His research topic is focused on the minimization of potential air conflicts using speed control.