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Tactical and Strategic Air Traffic Sequencing with Minimum-Fuel Trajectories
 
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Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Poland
 
 
Submission date: 2023-10-05
 
 
Acceptance date: 2024-10-21
 
 
Online publication date: 2024-12-21
 
 
Corresponding author
Adrian Pawełek   

Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Nowowiejska 24, 00-665, Warszawa, Poland
 
 
 
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ABSTRACT
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 the 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.
REFERENCES (25)
1.
Airbus, 2016, A320 Aircraft Characteristics Airport and Maintenance Planning, Airbus, Blagnac Cedex, France.
 
2.
Beasley J., Krishnamoorthy M., Sharaiha Y.M., Abramson D., 2000, Scheduling Aircraft Landings — The Static Case, Transportation Science, 34, 2, 180–197, DOI: 10.1287/trsc.34.2.180.12302.
 
3.
Briskorn D., Stolletz R., 2014, Aircraft landing problems with aircraft classes, Journal of Scheduling, 17, 1, 31-45.
 
4.
Dalmau R., Prats X., 2015, Fuel and time savings by flying continuous cruise climbs: Estimating the benefit pools for maximum range operations, Transportation Research Part D: Transport and Environment, 35, 62–71.
 
5.
Dalmau R., Prats X., 2016, Assessment of the feasible CTA windows for efficient spacing with energy-neutral CDO, Proceedings of the ICRAT 7th International Conference on Research in Air Transportation, Philadelphia, USA.
 
6.
de Jong P.M.A., Bussink F.J.L., Verhoeven R.P.M., de Gelder N., van Paassen M.M., Mulder M., 2017, Time and energy management during approach: A human-in-the-loop study, Journal of Aircraft, 54, 1, 177-189, DOI: 10.2514/1.C033741.
 
7.
Durand N., Gianazza D., Gotteland J.B., Alliot J.M., 2016, Metaheuristics for Air Traffic Management, Wiley, Hoboken, NJ, USA.
 
8.
Etkin B., 2005, Dynamics of Atmospheric Flight, Dover Publications, Mineola, USA.
 
9.
EUROCONTROL, 2015, DDR2 Reference Manual For Generic Users 2.1.2, EUROCONTROL, Brussels, Belgium.
 
10.
EUROCONTROL, 2016, NEST User Guide 1.5, EUROCONTROL, Brussels, Belgium.
 
11.
Faye A., 2015, Solving the Aircraft Landing Problem with time discretization approach, European Journal of Operational Research, 242, 3, 1028-1038.
 
12.
Fischenberg D., Mönnich W., Krag B., Jategaonkar R.V., 2016, Aspects of C-160 simulator model determination and validation on and close to the ground, AIAA Flight Simulation Technologies Conference, AIAA Paper 1994–3404, 22–31.
 
13.
Houston V.E., Barmore B., 2009, An exploratory study of runway arrival procedures: Time-based arrival and self-spacing, 9th AIAA Aviation Technology, Integration, and Operation Conference (ATIO), AIAA Paper 2009–7005.
 
14.
IBM, 2017, IBM ILOG CPLEX Optimization Studio CPLEX User’s Manual Version 12 Release 8, IBM, Armonk, NY, USA.
 
15.
Kim B., Li L., Clarke J.P., 2014, Runway assignments that minimize terminal airspace and airport surface emissions, Journal of Guidance Control and Dynamics, 37, 3, 789–798.
 
16.
Ky P., 2012, SESAR Release 1 Results, SESAR Joint Undertaking, Technical report, Brussels, Belgium.
 
17.
Lichota P., Ohme P., 2014, Design and analysis of new multi axis input manoeuvres for aircraft sys-ID, DLR, German Aerospace Center, Technical Report IB 111-2014/46, Braunschweig, Germany.
 
18.
Park S.G., Clarke J.P., 2015, Optimal control based vertical trajectory determination for Continuous Descent Arrival procedures, Journal of Aircraft, 52, 5, 1469–1480.
 
19.
Pawełek A., Dalmau R., Lichota P., Prats X., 2017, Arrival traffic synchronisation with Required Time of Arrivals for fuel-efficient trajectories, [In:] A. Nijo, et al., (Eds.), 17th AIAA Aviation Technology, Integration, and Operations Conference, Denver, USA.
 
20.
Pawełek A., Lichota P., Dalmau R., Prats X., 2019, Fuel-efficient trajectories traffic synchronization, Journal of Aircraft, 56, 2, 481–492.
 
21.
Prats X., Bendris B., Dalmau R., Montolio J., Day B., et al., 2016, 4D continuous descent operations supported by an electronic flight bag: A human-in-the-loop study, 35th IEEE/AIAA Digital Avionics Systems Conference (DASC), Sacramento, USA.
 
22.
Seren C., Bommier F., Bucharles A., Verdier L., Alazard D., 2006, Flight test protocol optimization using genetic algorithms, 14th IFAC Symposium on Identification and System Parameter Estimation, IFAC Proceedings Volumes, 39, 1, 642–647.
 
23.
Stengel F., 2004, Flight Dynamics, Princeton University Press, Princeton, NJ, USA.
 
24.
Takeichi N., 2017, Nominal flight time optimization for arrival time scheduling through estimation/resolution of delay accumulation, Transportation Research Part C: Emerging Technologies, 77, 433–443.
 
25.
Vilardaga S., Prats X., 2015, Operating cost sensitivity to required time of arrival commands to ensure separation in optimal aircraft 4D trajectories, Transportation Research Part C: Emerging Technologies, 75–86.
 
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ISSN:1429-2955
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