Synchronised demand-capacity balancing in collaborative air traffic flow management

Abstract This paper introduces a novel approach for synchronised demand-capacity balancing within a proposed Collaborative Air Traffic Flow Management framework. The approach is aimed to realise optimising traffic flow and scheduling airspace configuration in a more harmonised manner. Options such as delay assignment and alternative trajectories (generated and submitted by Airspace Users) are intended for regulating the traffic flow. Airspace reconfiguration involves, on the other side, adjusting the opening schemes of predefined configurations, or creating new ones (if needed) through dynamic sectorisation. Results suggest that, using the proposed approach, the required system delay can be reduced remarkably, whereas the number of opened sectors (and thus operating cost) and the total capacity provision (supplied by the Air Navigation Service Providers) decrease at the same time, due to the increased capacity utilisation per operating sector.

[1]  A. Odoni The Flow Management Problem in Air Traffic Control , 1987 .

[2]  M. Terrab,et al.  Dynamic strategic and tactical air traffic flow control , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

[3]  Marc Schoenauer,et al.  Genetic algorithms for partitioning air space , 1994, Proceedings of the Tenth Conference on Artificial Intelligence for Applications.

[4]  Banavar Sridhar,et al.  Initial Concepts for Dynamic Airspace Configuration , 2007 .

[5]  Mary Ellen Miller,et al.  Collaborative Trajectory Option Program demonstration , 2015, 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC).

[6]  Hanif D. Sherali,et al.  Configuration of airspace sectors for balancing air traffic controller workload , 2013, Ann. Oper. Res..

[7]  Xavier Prats,et al.  Including Linear Holding in Air Traffic Flow Management for Flexible Delay Handling , 2017 .

[8]  Dimitris Bertsimas,et al.  The Air Traffic Flow Management Problem with Enroute Capacities , 1998, Oper. Res..

[9]  Marc Schoenauer,et al.  Airspace sectoring by evolutionary computation , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[10]  Hong Kaing,et al.  Dynamic FPAs: A new method for dynamic airspace configuration , 2008, 2008 Integrated Communications, Navigation and Surveillance Conference.

[11]  Amedeo R. Odoni,et al.  An Integer Optimization Approach to Large-Scale Air Traffic Flow Management , 2011, Oper. Res..

[12]  David Gianazza,et al.  Airspace configuration using air traffic complexity metrics , 2007 .

[13]  Amedeo R. Odoni,et al.  The European Air Traffic Flow Management Problem , 2007, Transp. Sci..

[14]  Ramon Dalmau Codina,et al.  A Fast and Flexible Aircraft Trajectory Predictor and Optimiser for ATM Research Applications , 2018 .

[15]  Michael O. Ball,et al.  ASSESSING THE BENEFITS OF COLLABORATIVE DECISION MAKING IN AIR TRAFFIC MANAGEMENT , 2000 .