Transaction of the Japan Society for Simulation Technology
Online ISSN : 1883-5058
Print ISSN : 1883-5031
ISSN-L : 1883-5058
Volume 9, Issue 1
Displaying 1-1 of 1 articles from this issue
Paper
  • Tomonori Yamada, Kaai Ishikawa, Kazuki Abe, Hideki Fujii, Shinobu Yosh ...
    2017 Volume 9 Issue 1 Pages 1-9
    Published: 2017
    Released on J-STAGE: February 16, 2017
    JOURNAL FREE ACCESS
      Multi-agent simulations are key technologies to know the behavior of complex systems. Each agent in the multi-agent simulations is designed with probabilistic actions to other agents and environment. Hence, the deterministic assessment of complex systems with multi-agent simulations is difficult. Recently, uncertainty quantification attracts much attention to quantitatively assess the uncertainty of simulation results. In this paper, uncertainty quantification of multi-agent based traffic simulation is conducted and its characteristics are discussed. We conducted a series of traffic simulations in Okayama City based on the actually performed traffic census and investigate the relationship between the number of trials of traffic simulations and their reliability.
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