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Optimal Design and Planning for Compact Automated Parking Systems

Author

Listed:
  • Guangmei Wu

    (Central China Normal University [Wuhan, China])

  • Xianhao Xu

    (HUST - Huazhong University of Science and Technology [Wuhan])

  • Yeming Gong

    (EM - EMLyon Business School)

  • René de Koster

    (Erasmus University Rotterdam)

  • Bipan Zou

    (Zhongnan University of Economics and Law [China])

Abstract

Compact automated parking (CAP) systems are fully automated parking systems, which store cars densely. Such systems are mainly used in congested cities all over the world, providing rapid parking access and safe vehicle storage. We study a prominent new technology, with relatively low cost and rapid response. The system has a rotating ring equipped with shuttles in each tier for horizontal transport, and uses two lifts in the middle of the CAP system for vertical transport. We present a dedicated lift operating policy under which it uses one lift for storage and another for retrieval, and a general operating policy under which it uses both lifts for storage and retrieval. We propose queuing networks for single-tier and multi-tier systems based on two different policies for operating the lifts (a dedicated and general operating policy). We validate the analytical models using simulation based on a real application. We also conduct a sensitivity analysis in which we vary speeds of lifts and car rotation. Then we use the analytical models to optimize the system layout by minimizing the retrieval time. Furthermore, combining time efficiency and system cost, we find an appropriate system layout for designers. Third, we compare two lifts under dedicated and general operating policies. Forth, we find the optimal number of the lifts through a general compact automated parking system. Finally, we calculate the investment cost of a CAP system under different system configurations and compare it with an alternative design: a cubic parking system.

Suggested Citation

  • Guangmei Wu & Xianhao Xu & Yeming Gong & René de Koster & Bipan Zou, 2019. "Optimal Design and Planning for Compact Automated Parking Systems," Post-Print hal-02312241, HAL.
    • Handle: RePEc:hal:journl:hal-02312241
    DOI: 10.1016/j.ejor.2018.09.014
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    Citations

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    Cited by:

    1. Dong, Wenquan & Jin, Mingzhou, 2024. "Automated storage and retrieval system design with variant lane depths," European Journal of Operational Research, Elsevier, vol. 314(2), pages 630-646.
    2. Chen, Ran & Yang, Jingjing & Yu, Yugang & Guo, Xiaolong, 2023. "Retrieval request scheduling in a shuttle-based storage and retrieval system with two lifts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    3. Nima Zaerpour & Amir Gharehgozli & René De Koster, 2019. "Vertical Expansion: A Solution for Future Container Terminals," Transportation Science, INFORMS, vol. 53(5), pages 1235-1251, September.
    4. Lucian LOBONT & Robert Razvan Cosmin MUNTOIU, 2022. "Designing an integrated modern parking in a crowded city area a case study," Smart Cities International Conference (SCIC) Proceedings, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 10, pages 345-356, November.
    5. Sayarshad, Hamid R. & Sattar, Shahram & Oliver Gao, H., 2020. "A scalable non-myopic atomic game for a smart parking mechanism," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    6. Wang, Yineng & Li, Meng & Lin, Xi & He, Fang, 2021. "Online operations strategies for automated multistory parking facilities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).

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