Analysis and Control of Airport Runway Intrusion

Yutianyang Jia

2024

Abstract

In order to improve the accuracy of runway incursion predictions and identify the key factors influencing such incidents, this study employed a comprehensive approach. Firstly, an ARIMA model was established by analyzing runway incursion data from fiscal year 2019 to fiscal year 2023 in the United States. This time range allowed for a robust analysis of trends and patterns in runway incursions. Secondly, the least squares method was applied to conduct multiple regression analysis on the results and influencing factors of runway incursions specifically at the top 15 airports in China’s civil transport network during the year 2011.The integration of these two methodologies resulted in the development of a reliable ARIMA prediction model, which effectively captured the complexities of runway incursions. Notably, the research findings highlighted those typical errors emerged as the primary contributing factor to these incidents. Such insights provide valuable directions and suggestions for targeted strengthening and training programs aimed at enhancing the competency of relevant practitioners within China’s civil aviation safety departments. By adopting preventive measures based on this study’s recommendations, it is expected that runway incursion accidents can be significantly reduced, ultimately bolstering the overall safety of China’s civil aviation sector.

Paper Citation

in Harvard Style

Jia Y. (2024). Analysis and Control of Airport Runway Intrusion. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 459-463. DOI: 10.5220/0012819700004547

in Bibtex Style

@conference{icdse24,
author={Yutianyang Jia},
title={Analysis and Control of Airport Runway Intrusion},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={459-463},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012819700004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Analysis and Control of Airport Runway Intrusion
SN - 978-989-758-690-3
AU - Jia Y.
PY - 2024
SP - 459
EP - 463
DO - 10.5220/0012819700004547
PB - SciTePress