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Transportation simulator for disaster circumstance and bottleneck analysis

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Abstract

In recent years, massive earthquakes struck Japan, causing large-scale disasters such as the great Hanshin-Awaji earthquake in 1997, the Niigata Prefecture Chuetsu earthquake in 2004, the great east Japan earthquake in 2011, and the Kumamoto earthquake in 2016. In the all disasters above, logistics system for relief supplies collapsed and it was repeated that the relief supplies were not delivered properly to the evacuation refugees. The cause of repetition of this situation is the lack of knowledge to estimate the capability of the logistics system in the disaster response plan, which may constitute a part of disaster prevention plan. In this paper, two analysis tools are introduced. One is a simulator based on the multi-agent system, in which the vehicles, e.g., trucks, ships, aircrafts, as agents determine their delivery destination corresponding to sufficiency ratios of the relief supplies of respective evacuation centers. The other is an analytical solution to estimate transportation capability.

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Acknowledgements

This work was supported by JSPS KAKENHI Grant Numbers 17360424, 25280116, and 16H03157.

Author information

Authors and Affiliations

  1. National Maritime Research Institute, 6-38-1 Shinkawa, Mitaka, Tokyo, Japan

    Takahiro Majima

  2. The University of Electro-Communication, Tokyo, Japan

    Keiki Takadama

  3. Tokyo University of Marine Science and Technology, Tokyo, Japan

    Daisuke Watanabe

  4. National Maritime Research Institute, Tokyo, Japan

    Taro Aratani & Keiji Sato

Authors
  1. Takahiro Majima
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  2. Keiki Takadama
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  3. Daisuke Watanabe
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  4. Taro Aratani
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  5. Keiji Sato
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Corresponding author

Correspondence to Takahiro Majima.

Additional information

This work was presented in part at the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Kyoto, October 29–November 1, 2017.

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Majima, T., Takadama, K., Watanabe, D. et al. Transportation simulator for disaster circumstance and bottleneck analysis. Artif Life Robotics 23, 593–599 (2018). https://doi.org/10.1007/s10015-018-0493-3

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  • DOI: https://doi.org/10.1007/s10015-018-0493-3

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