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Published on 12 October 2024
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Cai,B. (2024). The study on the Internet of Things’ implication in improving the punctuality of air transportation in bad weather. Applied and Computational Engineering,90,47-51.
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The study on the Internet of Things’ implication in improving the punctuality of air transportation in bad weather

Binjing Cai *,1,
  • 1 Ocean University of China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/90/20241756

Abstract

Air travel is a popular choice for people who seek to travel outside in the present. It greatly promotes communication and economic development. However, flight delays can have seriously disappointing effects on various aspects. For passengers, they not only need a long time to wait and additional expenses, but they also experience more psychological stress. And airlines face economic losses, reduced customer satisfaction, and disruptions in flight scheduling, which further affect operational efficiency. Therefore, this paper aims to explore potential methods that are combined with the Internet of Things to improve the punctuality of air transportation in order to ease the hard situation of flight delays caused by bad weather. And based on the previous related papers, the author of this paper thinks a kind of meteorological monitoring and early warning system can be built based on the Internet of Things to improve real-time weather monitoring and flight scheduling, as well as ground service optimization. Hence, people can improve the punctuality of air transportation by optimizing resource utilization and cost management so that the whole industry can bring significant economic benefits to airline companies and improved travel experiences to passengers.

Keywords

Internet of Things, air transportation, flight delay, punctuality

[1]. Civil Aviation Administration of China. (2007). People's Republic of China Civil Aviation Industry standards.

[2]. Ministry of Transport of the People's Republic of China. (2024). 2023 Civil Aviation Industry Development Statistical Bulletin. https://www.mot.gov.cn/tongjishuju/minhang/202406/P020240621367394142022.pdf

[3]. Jun Cheng. (2020). Research on the Influencing Factors of Flight Delay and control model. Master’s thesis, Guangzhou University, 33-34.

[4]. Rose, K., Eldridge, S., & Chapin, L. (2015). The internet of things: An overview. The internet society (ISOC), 80(15), 1-53.

[5]. Zhong, G., Xiong, K., Zhong, Z., & Ai, B. (2021). Internet of things for high-speed railways. Intelligent and Converged Networks, 2(2), 115-132.

[6]. Martin Baláž, Kristína Kováčiková, Andrej Novák, Juraj Vaculík. (2023). The application of Internet of Things in air transport, Transportation Research Procedia, 75, 60-67.

[7]. Zhang Jinglin, Xue Ke, Yang Zhipeng, Zhang Feng, Zhang Renhe, Yang Jie & Feng Guolin. (2022). Application of artificial intelligence and Internet of Things in the field of atmospheric science. Progress in Geophysics (01), 94-109.

[8]. Weather Underground. (2018). Weather underground: weather forecast and reports—long range, 2019. https://www.wunderground.com.

[9]. Aljubairy, A., Zhang, W.E., Shemshadi, A. et al. (2020). A system for effectively predicting flight delays based on IoT data. Computing 102, 2025-48. https://doi.org/10.1007/s00607-020-00794-w

[10]. Apostolos Gerodimos, Leandros Maglaras, Mohamed Amine Ferrag, Nick Ayres, Ioanna Kantzavelou, (2023) IoT: Communication protocols and security threats, Internet of Things and Cyber-Physical Systems, (03), 1-13.

Cite this article

Cai,B. (2024). The study on the Internet of Things’ implication in improving the punctuality of air transportation in bad weather. Applied and Computational Engineering,90,47-51.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

Conference website: https://2024.confcds.org/
ISBN:978-1-83558-609-9(Print) / 978-1-83558-610-5(Online)
Conference date: 12 September 2024
Editor:Alan Wang, Ammar Alazab
Series: Applied and Computational Engineering
Volume number: Vol.90
ISSN:2755-2721(Print) / 2755-273X(Online)

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