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TENDENKO: Agent-Based Evacuation Drill and Emergency Planning System

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Multi-Agent-Based Simulation XV (MABS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9002))

Abstract

Evacuation drills are conducted periodically to practice smooth evacuations from buildings and rescue operations at emergency sites. An agent-based evacuation simulation provides a platform for simulating human evacuation behavior during emergencies, which can be affected by various social and human factors. These factors include agent characteristics, societal behavior codes, evacuation guidance, and so on. These factors make it difficult to conduct evacuation drills and develop prevention plans for unexpected emergencies. TENDENKO aims to simulate evacuation drills at buildings where real drills cannot be conducted, and to improve evacuation planning for the building to save more lives during future emergencies.

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Notes

  1. 1.

    Named after a Japanese tradition of saving lives from tsunamis.

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Author information

Authors and Affiliations

  1. Meijo University, 1-501 Shiogamaguchi, Tempaku, Nagoya, 468-8502, Japan

    Toshinori Niwa, Masaru Okaya & Tomoichi Takahashi

Authors
  1. Toshinori Niwa
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  2. Masaru Okaya
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  3. Tomoichi Takahashi
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Corresponding author

Correspondence to Tomoichi Takahashi .

Editor information

Editors and Affiliations

  1. Universitat de València, Burjassot-València, Spain

    Francisco Grimaldo

  2. Manchester Metropolitan University, Manchester, United Kingdom

    Emma Norling

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Niwa, T., Okaya, M., Takahashi, T. (2015). TENDENKO: Agent-Based Evacuation Drill and Emergency Planning System. In: Grimaldo, F., Norling, E. (eds) Multi-Agent-Based Simulation XV. MABS 2014. Lecture Notes in Computer Science(), vol 9002. Springer, Cham. https://doi.org/10.1007/978-3-319-14627-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-14627-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14626-3

  • Online ISBN: 978-3-319-14627-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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