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An uncertainty-aware AGV assignment algorithm for automated container terminals


  • Angeloudis, Panagiotis
  • Bell, Michael G.H.


This paper studies job assignments for automated guided in container terminal settings under various conditions of uncertainty. An introduction to their operation is provided, along with a flexible dispatching algorithm, suitable for real-time control of AGVs. Using these concepts a new AGV dispatching approach is developed, capable of operating under uncertain conditions within a detailed container terminal model. Several performance indicators are presented, focused on generic features of vehicle operations as well the assessment of uncertainty levels inside the terminal. From the results of the simulation experiments, it is found that the proposed technique outperforms well known heuristics and alternative algorithms.

Suggested Citation

  • Angeloudis, Panagiotis & Bell, Michael G.H., 2010. "An uncertainty-aware AGV assignment algorithm for automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 354-366, May.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:3:p:354-366

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    Cited by:

    1. Carlo, H├ęctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    2. Luo, Jiabin & Wu, Yue, 2015. "Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 49-64.
    3. repec:spr:joptap:v:173:y:2017:i:3:d:10.1007_s10957-016-1056-1 is not listed on IDEAS


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