Transaction of the Japan Society for Simulation Technology
Online ISSN : 1883-5058
Print ISSN : 1883-5031
ISSN-L : 1883-5058
Paper
Uncertainty Quantification of Traffic Volume in Multi-Agent Traffic Simulation
Tomonori YamadaKaai IshikawaKazuki AbeHideki FujiiShinobu Yoshimura
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2017 Volume 9 Issue 1 Pages 1-9

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Abstract

  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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© 2017 Japan Society for Simulation Technology
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