Transaction of the Japan Society for Simulation Technology
Online ISSN : 1883-5058
Print ISSN : 1883-5031
ISSN-L : 1883-5058
Uncertainty Quantification of Traffic Volume in Multi-Agent Traffic Simulation
Tomonori YamadaKaai IshikawaKazuki AbeHideki FujiiShinobu Yoshimura
Author information

2017 Volume 9 Issue 1 Pages 1-9


  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.

Information related to the author
© 2017 Japan Society for Simulation Technology