Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft

Hatice Doğan Kuzey; Fatma Yıldırım Dalkıran

doi:10.30518/jav.1683966

Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft

Abstract

The landing phase, one of the flight phases, is considered the most critical phase due to its significantly higher accident rate compared to other flight phases. A large portion of accidents occurring during the landing phase consists of hard landings. A hard landing is a landing incident defined as the main landing gear impacting the ground with a greater vertical speed and force than a normal landing. The severity of hard landings can vary from minor passenger discomfort to serious aircraft damage, structural failure, or even loss of life. In this study, the decision-making process regarding go-around maneuvers based on hard landing prediction is addressed using Machine Learning methods, specifically Logistic Regression and Random Forest models. Modeling was conducted using a dataset composed of real-time flight parameters, aiming to prevent hard landing incidents and even landing accidents. The calculation results indicate that the developed models provide accurate predictions for hard landing events.

Keywords

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Details

Primary Language

English

Subjects

Aircraft Performance and Flight Control Systems

Journal Section

Research Article

Authors

Hatice Doğan Kuzey This is me
0000-0002-4162-1319
Türkiye

Fatma Yıldırım Dalkıran ^*
0000-0001-8663-241X
Türkiye

Early Pub Date

October 9, 2025

Publication Date

October 19, 2025

Submission Date

April 28, 2025

Acceptance Date

September 22, 2025

Published in Issue

Year 2025 Volume: 9 Number: 3

DOI

https://doi.org/10.30518/jav.1683966

IZ

https://izlik.org/JA34YS29XE

Cite

RIS / Bibtex

APA

Doğan Kuzey, H., & Yıldırım Dalkıran, F. (2025). Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft. Journal of Aviation, 9(3), 609-613. https://doi.org/10.30518/jav.1683966

AMA

1.Doğan Kuzey H, Yıldırım Dalkıran F. Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft. JAV. 2025;9(3):609-613. doi:10.30518/jav.1683966

Chicago

Doğan Kuzey, Hatice, and Fatma Yıldırım Dalkıran. 2025. “Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft”. Journal of Aviation 9 (3): 609-13. https://doi.org/10.30518/jav.1683966.

EndNote

Doğan Kuzey H, Yıldırım Dalkıran F (October 1, 2025) Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft. Journal of Aviation 9 3 609–613.

IEEE

[1]H. Doğan Kuzey and F. Yıldırım Dalkıran, “Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft”, JAV, vol. 9, no. 3, pp. 609–613, Oct. 2025, doi: 10.30518/jav.1683966.

ISNAD

Doğan Kuzey, Hatice - Yıldırım Dalkıran, Fatma. “Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft”. Journal of Aviation 9/3 (October 1, 2025): 609-613. https://doi.org/10.30518/jav.1683966.

JAMA

1.Doğan Kuzey H, Yıldırım Dalkıran F. Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft. JAV. 2025;9:609–613.

MLA

Doğan Kuzey, Hatice, and Fatma Yıldırım Dalkıran. “Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft”. Journal of Aviation, vol. 9, no. 3, Oct. 2025, pp. 609-13, doi:10.30518/jav.1683966.

Vancouver

1.Hatice Doğan Kuzey, Fatma Yıldırım Dalkıran. Machine Learning-Based Approach for Predicting Hard Landings in Commercial Aircraft. JAV. 2025 Oct. 1;9(3):609-13. doi:10.30518/jav.1683966