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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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References

  1. Altay N, Green WG (2006) OR/MS research in disaster operations management. Eur J Oper Res 175:475–493

    Article  Google Scholar 

  2. Banomyong R, Varadejsatitwong P, Oloruntoba, R (2017) A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature, (2005) to 2016. Ann Oper Res. https://doi.org/10.1007/s10479-017-2549-5

  3. Caunhye AM, Nie X, Pokharel S (2012) Optimization models in emergency logistics: a literature review. Soc Econ Plan Sci 46:4–13

    Article  Google Scholar 

  4. Majima T, Watanabe D, Takadama K, Katuhara M (2013) A development of transportation simulator for relief supply in disasters. SICE J Control Measur Syst Integr 6(2):131–136

    Article  Google Scholar 

  5. Klugl F, Bazzan A, Ossowski S (eds) (2005) Applications of agent technology in traffic and transportation. Birkhauser, Whitestein Series in Software Agent Technologies

  6. Tarver M, Fae MI (2007) Applications of multiagents in transport and logistics. Int J Log Syst Manag 3(4):418–445

    Google Scholar 

  7. Sedgewick R (2002) Algorithms in C part 5 graph algorithms, 3rd edn. Addison-Wesley, Boston

    Google Scholar 

Download references

Acknowledgements

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

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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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