Optimizing Aircraft Operations in Case of Increasing Demand for Limited Airport Capacity

Authors

DOI:

https://doi.org/10.59490/ejtir.2025.25.1.7175

Keywords:

air traffic control, airport operations, demand/capacity imbalance, Limited airport capacity

Abstract

The purpose of this paper is to minimize the total difference between the requested and assigned departure time of aircraft to enhance the efficiency of using limited airport capacity. The mathematical model was formed by employing mixed integer linear programming. The parameters, decision variables, and constraints were defined to cover the problem. The baseline and alternative scenarios were compared to present the improved results. Sensitivity analysis was performed to test the ability of the model with different parameters. Also, in order to test the mathematical model, distinct from both the baseline and alternative scenarios, CHQ airport was based by using its number of parking positions and taxi-in/out durations in the sensitivity analysis. The proposed model reduced the total difference by 20.78% for 30 aircraft for 5 parking positions in the alternative scenario. The results showed that it may well serve to improve the imbalance regarding operational conditions.

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References

Androutsopoulos, K. N. and Madas, M. A. (2019). Being fair or efficient? A fairness-driven modeling extension to the strategic airport slot scheduling problem. Transportation Research Part E: Logistics and Transportation Review, 130(January), 37–60. doi: 10.1016/j.tre.2019.08.010.

Androutsopoulos, K. N., Manousakis, E. G. and Madas, M. A. (2020). Modeling and solving a bi-objective airport slot scheduling problem. European Journal of Operational Research, 284(1), 135–151. doi: 10.1016/j.ejor.2019.12.008.

Benlic, U. (2018). Heuristic search for allocation of slots at network level. Transportation Research Part C: Emerging Technologies, 86, 488–509. doi: 10.1016/j.trc.2017.03.015.

Bouras, A., Ghaleb, M. A., Suryahatmaja, U. S., and Salem, A. M. (2014). The airport gate assignment problem: a survey. The scientific world journal, 2014(1), 923859.

Bubalo, Branko, Frederik Schulte, and Stefan Voß. (2017). Reducing airport emissions with coordinated pushback processes: A case study. Paper presented at International Conference on Computational Logistics. Oct. 2017, Southampton.

Bubalo, Branko, and Joachim R. Daduna. (2011). Airport capacity and demand calculations by simulation—the case of Berlin-Brandenburg International Airport. NETNOMICS: Economic Research and Electronic Networking, 12.3, 161-181.

Cai, K. Q., Zhang, J., Xiao, M. M., Tang, K., & Du, W. B. (2017). Simultaneous optimization of airspace congestion and flight delay in air traffic network flow management. IEEE Transactions on Intelligent Transportation Systems, 18(11), 3072–3082. doi: 10.1109/TITS.2017.2673247.

Cao, J. M. and Kanafani, A. (2000). The value of runway time slots for airlines. European Journal of Operational Research, 126(3), 491–500. doi: 10.1016/S0377-2217(99)00304-5.

Cecen, R. K. (2021). Multi-objective optimization model for airport gate assignment problem. Aircraft Engineering and Aerospace Technology, 93(2), 311-318.

Corolli, L., Lulli, G., Ntaimo, L., & Venkatachalam, S. (2017). A two-stage stochastic integer programming model for air traffic flow management. IMA Journal of Management Mathematics, 28(1), 19–40. doi: 10.1093/imaman/dpv017.

Corolli, L., Lulli, G. and Ntaimo, L. (2014). The time slot allocation problem under uncertain capacity. Transportation Research Part C: Emerging Technologies, 46, 16–29. doi: 10.1016/j.trc.2014.05.004.

Fairbrother, J., Zografos, K. G. and Glazebrook, K. D. (2020). A Slot-scheduling mechanism at congested airports that incorporates efficiency, fairness, and airline preferences. Transportation Science, 54(1), 115–138. doi: 10.1287/trsc.2019.0926.

Gelhausen, M. C., Berster, P. and Wilken, D. (2013). Do airport capacity constraints have a serious impact on the future development of air traffic? Journal of Air Transport Management, 28, 3–13. doi: 10.1016/j.jairtraman.2012.12.004.

Howe, B., Richardson, C., Rigdon, M., Russell, S., Sprague, S., Donohue, G., & Wieland, F. (2003). Potential air traffic congestion solution slot allocation by auction method. Paper presented at IEEE Systems and Information Engineering Design Symposium, 67–75.

Ivanov, N., Netjasov, F., Jovanović, R., Starita, S., & Strauss, A. (2017). Air Traffic Flow Management slot allocation to minimize propagated delay and improve airport slot adherence. Transportation Research Part A: Policy and Practice, 95, 183–197. doi: 10.1016/j.tra.2016.11.010.

Jacquillat, A. and Odoni, A. R. (2015). An integrated scheduling and operations approach to airport congestion mitigation. Operations Research, 63(6), 1390–1410. doi: 10.1287/opre.2015.1428.

Jacquillat, A. and Odoni, A. R. (2018). A roadmap toward airport demand and capacity management. Transportation Research Part A: Policy and Practice, 114, 168–185. doi: 10.1016/j.tra.2017.09.027.

Madas, M. A. and Zografos, K. G. (2010). Airport slot allocation: A time for change? Transport Policy, 17(4), 274–285. doi: 10.1016/j.tranpol.2010.02.002.

Mukherjee, A. and Hansen, M. (2007). A dynamic stochastic model for the single airport ground holding problem. Transportation Science, 41(4), 444–456. doi: 10.1287/trsc.1070.0210.

Pellegrini, P., Bolić, T., Castelli, L., & Pesenti, R. (2017). SOSTA: An effective model for the Simultaneous Optimisation of airport SloT Allocation. Transportation Research Part E: Logistics and Transportation Review, 99, 34–53. doi: 10.1016/j.tre.2016.12.006.

Pyrgiotis, N. and Odoni, A. (2016). On the impact of scheduling limits: A case study at Newark Liberty International Airport. Transportation Science, 50(1), 150–165. doi: 10.1287/trsc.2014.0564.

Ribeiro, N. A., Jacquillat, A. and Antunes, A. P. (2019). A large-scale neighborhood search approach to airport slot allocation. Transportation Science, 53(6), 1772–1797. doi: 10.1287/trsc.2019.0922.

Rodríguez-Díaz, A., Adenso-Díaz, B. and González-Torre, P. L. (2017). Minimizing deviation from scheduled times in a single mixed-operation runway. Computers and Operations Research, 78, 193–202. doi: 10.1016/j.cor.2016.09.014.

Sena, G., Gzara, F. and Stützle, T. (2020). A review on airport gate assignment problems: Single versus multi objective approaches. Omega, 92. doi: 10.1016/j.omega.2019.102146.

Yan, S. and Yang, D.-H. (1996). A Decision Support Framework for Handling Schedule Perturbation. Transportation Research Part B: Methodological, 30(6), 405–419. doi: 10.1016/0191-2615(96)00013-6.

Ye, Z., Li, Y., Bai, J., & Zheng, X. (2019). Performance comparing and analysis for slot allocation model. Information, 10(6). doi: 10.3390/info10060188.

Zografos, K. G., Androutsopoulos, K. N. and Madas, M. A. (2018). Minding the gap: Optimizing airport schedule displacement and acceptability. Transportation Research Part A: Policy and Practice, 114, 203–221. doi: 10.1016/j.tra.2017.09.025.

Zografos, K. G., Madas, M. A. and Androutsopoulos, K. N. (2017). Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs. Journal of Scheduling, 20(1), 3–24. doi: 10.1007/s10951-016-0496-7.

Zografos, K. G., Salouras, Y. and Madas, M. A. (2012). Dealing with the efficient allocation of scarce resources at congested airports. Transportation Research Part C: Emerging Technologies, 21(1), 244–256. doi: 10.1016/j.trc.2011.10.008.

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Published

2025-01-10

How to Cite

Demirel, S., & Çınar, E. (2025). Optimizing Aircraft Operations in Case of Increasing Demand for Limited Airport Capacity. European Journal of Transport and Infrastructure Research, 25(1), 86–101. https://doi.org/10.59490/ejtir.2025.25.1.7175

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