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

In: Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in the World of Uncertainties (ICECH 2022)

Author

Listed:
  • 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)

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.

Suggested Citation

  • Cuong Duong Manh & Mai Nguyen Thi, 2023. "The Queueing Model on the Parking Area: A Case Study at Hanoi University of Science and Technology," Advances in Economics, Business and Management Research, in: Tra Lam Pham & Quang Huy Pham (ed.), Proceedings of the International Conference on Emerging Challenges: Strategic Adaptation in the World of Uncertainties (ICECH 2022), pages 127-135, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-150-0_9
    DOI: 10.2991/978-94-6463-150-0_9
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