Flight delay causes determination based on adversarial defense of TSVM

Li Liu; Haiyan Chen; Wei Zhou; Xinding Zhou

doi:10.1117/12.3050664

20 January 2025 Flight delay causes determination based on adversarial defense of TSVM

Li Liu, Haiyan Chen, Wei Zhou, Xinding Zhou

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134220G (2025) https://doi.org/10.1117/12.3050664
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

With the rapid development of the aviation industry, flight delays have become a global issue, resulting in significant economic losses and passenger dissatisfaction. Accurately determining the causes of flight delays is crucial for airlines, air traffic management, and passengers. This study proposes an Adversarial Defense of the Transductive Support Vector Machine (ad-TSVM) algorithm to address the problem of flight delay causing determination. The ad-TSVM algorithm generates adversarial samples through adversarial training techniques and incorporates these samples into the Transductive Support Vector Machine (TSVM) to improve the model's classification accuracy and robustness. Compared to traditional methods, ad-TSVM can more precisely attribute the responsibility for flight delays to various stakeholders, such as airlines, air traffic control, weather, and air traffic flow, while resisting adversarial attacks. Experimental results demonstrate that the ad-TSVM algorithm significantly outperforms traditional TSVM and other standard machine-learning algorithms regarding classification accuracy on multiple real-world datasets. Additionally, the algorithm exhibits excellent performance in resisting adversarial attacks, effectively enhancing the model's robustness and reliability. This study addresses flight delay cause determination challenges, offering theoretical support for further research and practical applications in related fields.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Li Liu, Haiyan Chen, Wei Zhou, and Xinding Zhou "Flight delay causes determination based on adversarial defense of TSVM", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134220G (20 January 2025); https://doi.org/10.1117/12.3050664

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KEYWORDS

Data modeling

Adversarial training

Defense and security

Performance modeling

Support vector machines

Industry

Statistical modeling

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