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A proposed solution for airborne delays: linear holding

  • O. Sahin (a1)

Abstract

This study is aimed at establishing a linear holding (LH) procedure instead of a conventional air holding stack to minimize the effects of airborne delays in terms of air traffic management and fuel consumption. This paper uses both actual flight data and the Base of Aircraft Database (BADA) model to obtain fuel consumption for level flight and descent segments, separately.

The total fuel savings obtained by using actual flight data (16%) and the BADA model (10%) indicate that the LH is found to be more advantageous compared to a conventional holding procedure. Furthermore, the recommended LH procedure could be a promising solution for keeping aircraft in a narrow area that could be considered to be an effective method for airspace usage.

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1.Liang, M., Delahaye, D. and Marechal, M.Integrated sequencing and merging aircraft to parallel runways with automated conflict resolution and advanced avionics capabilities”, Transportation Research Part C: Emerging Technologies, 2017, 85, 268291.
2.Zuniga, C.A., Piera, M.A., Ruiz, S. and Del Pozo, I.A CD&CR causal model based on path shortening/path stretching techniques”, Transportation Research Part C, 2013, 33, 238256.
3.ICAO, Doc 9426-Air Traffic Services Planning Manual, 1984, 1st ed., International Civil Aviation Organization, Montreal, Canada.
4.Delgado, L., Prats, X. and Sridhar, B.Cruise speed reduction for ground delay programs: A case study for San Francisco International Airport arrivals”, Transportation Research Part C, 2013, 36, 8396.
5.Carlier, S., De Lépinay, I., Husatche, J.-C. and Jelinek, F. “Environmental impact of air traffic flow management delays”, 2007, In: 7th USA/Europe Air Traffic Management Research and Development Seminar (ATM2007), Barcelona, Spain.
6.ICAO, DOC 8168, “Procedures for Air Navigation Services Aircraft Operations (PANSOPS)”, 2006, 5th ed., Chapter II, International Civil Aviation Organization, Montreal, Canada.
7.ICAO, Doc 4444, “Procedures for Air Navigation Services Air Traffic Management”, 2007, 15th ed., International Civil Aviation Organization, Montreal, Canada.
8.Gunther, T. and Fricke, H. “Potential of speed control on flight efficiency”, in Proc. 2nd ICRAT (1), Belgrade, Serbia, 2006, 197201.
9.Delgado, L. and Prats, X.An en-route speed reduction concept for absorbing air traffic flow management delays”, 2012, J Aircr, 49 (1), 214224.
10.Prats, X. and Hansen, M. “Green delay programs”, Ninth USA/Europe Air Traffic Management Research and Development Seminar (ATM2011), 2011, Berlin, Germany.
11.Delgado, L. and Prats, X. “Simulation of airborne ATFM delay and delay recovery by cruise speed reduction”, 2011, In: Eurocontrol (Ed.), 1st SESAR Innovation days, Toulouse, France, pp. 17.
12.Delgado, L. and Prats, X.Effect of wind on operating-cost-based cruise speed reduction for delay absorption”, IEEE Transactions on Intelligent Transportation Systems, 2013, 14 (2), 918927.
13.Delgado, L. and Prats, X.Operating cost-based cruise speed reduction for ground delay programs: Effect of scope length”, Transportation Research Part C, 2014, 48, 437452.
14.Xu, Y. and Prats, X.Including Linear holding in air traffic flow management for flexible delay handling”, J Air Transportation, 2017, 25 (4), 123137.
15.Slveling, G. and Clarke, J.-P., “Scheduling of airport runway operations using stochastic branch and bound methods”, Transportation Research Part C: Emerging Technology, 2014, 45, 119137.
16.Samá, M., D’ariano, A., D’ariano, P. and Pacciarelli, D.Optimal aircraft scheduling and routing at a terminal control area during disturbances”, Transportation Research Part C, 2014, 47, 6185.
17.Samá, M., D’ariano, A., D’ariano, P. and Pacciarelli, D.Air traffic optimization models for aircraft delay and travel time minimization in terminal control areas”, Public Transportation, 2015, 7(3), 321337.
18.Akturk, S.M., Atamturk, A. and Gurel, S.Aircraft Rescheduling with Cruise Speed Control”, Operations Research, 2014, 62 (4), 829845.
20.Sahin, O., Usanmaz, O. and Turgut, E.T.An assessment of flight efficiency based on the point merge system at metroplex airports”, Aircr Engineering and Aerospace Technology, 2018, 90 (1), 110.
21.Favennec, B., Vergne, F. and Zeghal, K.Point merge integration of arrival flows enabling extensive RNAV application and CDA – operational services and environment definition”, 2010, Eurocontrol Experimental Centre, Version 2.0.
23.Hong, Y., Choi, B., Lee, K. and Kim, Y.Dynamic Robust Sequencing and Scheduling Under Uncertainty for the Point Merge System in Terminal Airspace”, IEEE Transactions On Intelligent Transportation Systems, 2018, 19 (9), 29332943.
24.Sahin, O. and Usanmaz, O.A new standard instrument arrival: The point merge system”, Aircr Engineering and Aerospace Technology, 2013, 85 (2), pp. 136143.
25.Ivanescu, D., Shaw, C., Tamvaclis, C. and Kettunen, T. “Models of air traffic merging techniques: Evaluating performance of point merge”, 9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO), Hilton Head, SC, USA, 2009.
26.Boursier, L., Favennec, B., Hoffman, E., Trzmiel, A., Vergne, F. and Zeghal, K. “Merging arrival flows without heading instructions”, The 7th USA/Europe Air Traffic Management R…D Seminar, Barcelona, Spain, 2007.
27.Barker, D.R., Haltli, B.M., Laqui, C., Macwilliams, P. and Mckee, K.L. “Assessment of terminal RNAV mixed equipage”, The 23rd IEEE Digital Avionics Systems Conference, Salt Lake City, UT, USA, 2004.
28.Klein, K.A., Sprong, K.R., Haltli, B.M., Becher, T.A. and Dearmon, J.S. “Evaluating operational benefits of terminal RNAV: Las Vegas case study”, The 23rd IEEE Digital Avionics Systems Conference, Salt Lake City, UT, USA, 2004.
29.Laqui, C., Barker, D.R., Deamon, J.S. and Fawell, D.W. “Terminal RNAV: analyses of Las Vegas McCarran International Airport Terminal RNAV operations”, The 22nd IEEE Digital Avionics Systems Conference, Indianapolis, IN, USA, 2003.
30.Cao, Y., Kotegawa, T., Sun, D., Delaurentis, D. and Post, J.Evaluation of CDA as a standard terminal airspace operation”, Ninth USA/Europe Air Traffic Management Research and Development Seminar, Berlin, Germany, 2011.
31.Khardi, S.Aircraft shortest and fastest continuous descent approach development”, J Aircr, 2012, 49 (6), 19311938.
32.ICAO DOC. 9931, “Continuous descent operations (CDO) manual”, 2010, 1st Ed., International Civil Aviation Organization, Montreal, Canada.
34.General Directorate of State Airports Authority, “Aeronautical Information Publication”, 2019. http://ans.dhmi.gov.tr/ANSLogin.aspx?mn=41. (Accessed: 06.06.2019)
35.Usanmaz, O. and Turgut, E.T.Wind effect analysis on instrument flight procedures using a Turkish wind model”, J Aircr, 2012, 49 (6), 20232032.
36.Eurocontrol, “Point merge integration of arrival flows enabling extensive RNAV application and continuous descent- operational services and environment definition”, 2010.
37.Hong, Y., Lee, S., Lee, K. and Kim, Y. “Optimal Scheduling Algorithm for Air Traffic Point Merge System Using MILP”, Advances in Aerospace Guidance, Navigation and Control, The fourth CEAS Specialist Conference on Guidance, Navigation and Control, 407420, Warsaw, Poland, 2017.
38.Lee, S., Hong, Y. and Kim, Y. “Optimal scheduling algorithm in point merge system including holding pattern based on MILP”, 7th European Conference for Aeronautics and Aerospace Sciences (EUCASS), Milan, Italy, 2017.
39.Hong, Y., Choi, B., Lee, K. and Kim, Y.Dynamic robust sequencing and scheduling under uncertainty for the point merge system in terminal airspace”, IEEE Transactions on Intelligent Transportation Systems, 2017, 99, 111.
41.Turgut, E.T. and Usanmaz, O.Effect of climb angle on aircraft fuel consumption and nitrogen oxides emissions”, J Aircr, 2018, 55 (6), 23922400. Doi:10.2514/1.C034265.
42.Padilla, C.E. Optimizing Jet Transport Efficiency: Performance, Operations and Economics, 1996, 1st ed., McGraw–Hill, New York, pp. 131142.
43.Brentnall, A. and Cheng, R.Some effects of aircraft arrival sequence algorithms”, J Operational Research Soc, 2009, 60, 962972.
44.Solveling, G. and Clarke, J.P.Scheduling of airport runway operations using stochastic branch and bound methods”, Transportation Research Part C, 2014, 45, 119137.
45.Senzig, D.A., Fleming, G.G. and Lovinelli, R.J.Modeling of terminal-area airplane fuel consumption”, J Aircraft, 2009, 46 (4), 10891093. https://doi.org/10.2514/1.42025
46.Eurocontrol Experimental Centre, “User manual for the base of aircraft data (BADA)”, 2017, Revision 3.14.

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A proposed solution for airborne delays: linear holding

  • O. Sahin (a1)

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