Queueing Theory in Aircraft System
Aircraft Landing Delay, Queuing Theory, M/M/1 Model, Runway Capacity, Air Traffic Management, Airport Congestion
The rapid growth in global air traffic has significantly increased pressure on airport runway systems, resulting in congestion and landing delays. Efficient runway utilization is essential for maintaining safety, minimizing operational costs, and ensuring timely aircraft movement. This study presents a queuing-theoretic analysis of aircraft landing operations using the M/M/1 Queue Model. The model evaluates key performance measures such as runway utilization, average queue length, and expected waiting time. A numerical analysis is conducted to demonstrate the influence of arrival and service rates on system performance. The results reveal that delays increase nonlinearly as runway utilization approaches its maximum capacity. The study highlights the importance of managing arrival flow and improving service efficiency to reduce congestion. Although based on simplifying assumptions, the M/M/1 framework provides valuable insights for airport capacity planning and air traffic management strategies.
Registration ID: IJVRA_702455 Published ID: IJVRA2603837
"Queueing Theory in Aircraft System", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.468-471, March-2026, Available :https://ijpub.org/ijvra/papers/IJVRA2603837.pdf
Paper Reg. ID: IJVRA_702455
Published Paper Id: IJVRA2603837
Research Area: Mathematics All
Country: -, -, India
ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023
An International UGC CARE JOURNAL PUBLICATION Low Cost (₹599), Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 9.12 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage, Crossref DOI Member Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJVRA (IJ Publication) Janvi Wave
© 2026 - Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). 🛡️ Disclaimer:
The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.