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Using GPS to measure truck service times in a container terminal

Author

Listed:
  • John J. Bartholdi

    (Georgia Institute of Technology
    Georgia Tech Panama Logistics Innovation and Research Center)

  • Alvaro Lasso

    (Georgia Tech Panama Logistics Innovation and Research Center)

  • H. Donald Ratliff

    (Georgia Institute of Technology
    Georgia Tech Panama Logistics Innovation and Research Center)

  • Yuritza Oliver

    (Georgia Tech Panama Logistics Innovation and Research Center)

Abstract

If a truck is equipped with GPS, one can programmatically track its movement within the container terminal. It is then possible to identify the yards that were visited, infer the types of containers dropped off or picked up, and measure the time spent stopped in each yard, as well as the time spent driving. This allows a much more granular measurement of terminal service times than the commonly reported aggregate statistic “truck turn-time.” Furthermore, the process requires no resources from the terminal. Our methodology is adapted from map-matching, which attempts to align a sequence of GPS readings with a road network. In this case, we attempt to align GPS readings with each of the typical sequences of terminal operations, so as to find the most likely sequence.

Suggested Citation

  • John J. Bartholdi & Alvaro Lasso & H. Donald Ratliff & Yuritza Oliver, 2019. "Using GPS to measure truck service times in a container terminal," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(1), pages 146-155, March.
    • Handle: RePEc:pal:marecl:v:21:y:2019:i:1:d:10.1057_s41278-017-0097-1
    DOI: 10.1057/s41278-017-0097-1
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    References listed on IDEAS

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    1. Daganzo, Carlos F., 1989. "The crane scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 23(3), pages 159-175, June.
    2. Evangelos Mennis & Agapios Platis & Ioannis Lagoudis & Nikitas Nikitakos, 2008. "Improving Port Container Terminal Efficiency with the use of Markov Theory," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(3), pages 243-257, September.
    3. Halvor Schøyen & James Odeck, 2013. "The technical efficiency of Norwegian container ports: A comparison to some Nordic and UK container ports using Data Envelopment Analysis (DEA)," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 197-221, June.
    4. Wu, Yen-Chun Jim & Goh, Mark, 2010. "Container port efficiency in emerging and more advanced markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1030-1042, November.
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    Cited by:

    1. Hayakawa, Kazunobu & Keola, Souknilanh & Urata, Shujiro, 2022. "Using truck probe data to measure border clearance time: evidence from thailand," IDE Discussion Papers 846, Institute of Developing Economies, Japan External Trade Organization(JETRO).

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