The Queueing Model on the Parking Area: A Case Study at Hanoi University of Science and Technology

Cuong Duong Manh () and Mai Nguyen Thi
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Cuong Duong Manh: Hanoi University of Science and Technology, Department of Industrial Management, School of Economics and Management
Mai Nguyen Thi: Hanoi University of Science and Technology, Department of Industrial Management, School of Economics and Management

A chapter in Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in the World of Uncertainties (ICECH 2022), 2023, pp 127-135 from Springer

Abstract: 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.

Keywords: Queueing Theory; Parking Lots; Kendall Notation (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-150-0_9

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DOI: 10.2991/978-94-6463-150-0_9

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