The Queueing Model on the Parking Area: A Case Study at Hanoi University of Science and Technology
- DOI
- 10.2991/978-94-6463-150-0_9How to use a DOI?
- Keywords
- Queueing Theory; Parking Lots; Kendall Notation
- Abstract
This research aims to determine the queue model in a motorcycle parking area during rush hours at Hanoi University of Science and Technology (HUST) and its performance measures. Queuing for parking at the D3 – D5 parking lot is considered a case study. The observation approach is used to collect data in this study. Data taken are the number of arrivals and service time. The one-sample Kolmogorov-Smirnov test with SPSS Statistics is used to test arrival distribution and service time distribution. From there, determine the model of the parking lot based on Kendall Notation. The results of the analysis show that the arrival distribution was the Poisson distribution, and the service time distribution was the Exponential distribution. Based on the results of data analysis in this research and Kendall Notation, the queue model obtained was (M/M/4): (FIFO/∞/∞). Accordingly, the proposed queue model is consistent with the actual queue model at the considered parking lot.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Cuong Duong Manh AU - Mai Nguyen Thi PY - 2023 DA - 2023/05/23 TI - The Queueing Model on the Parking Area: A Case Study at Hanoi University of Science and Technology BT - Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in The World of Uncertainties (ICECH 2022) PB - Atlantis Press SP - 127 EP - 135 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-150-0_9 DO - 10.2991/978-94-6463-150-0_9 ID - DuongManh2023 ER -