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

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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Publication Details

Journal
European journal of transport and infrastructure research
Published
2025-01-10
DOI
https://doi.org/10.59490/ejtir.2025.25.1.7175
Citations
1
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
4.99

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article

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

Ertan Çınar, Soner Demirel
1 citations
European journal of transport and infrastructure research
Air Traffic Management and Optimization
4.99
article

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

Ertan Çınar, Soner Demirel
article en
1 citations

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.

European journal of transport and infrastructure researchVol. 25(1)
Eskisehir Technical University (TR)
Eskişehir Teknik Üniversitesi
Openalex Percentile: Top 7%
Air Traffic Management and Optimization
4.99
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