An implementation of large-scale holonic multi-agent society simulator and agent behavior model

Takayuki Ito, Takanobu Otsuka, Teruyoshi Imaeda, Rafik Hadfi

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


This paper presents a large-scale multiagent simulator that can simulate any complex urban environment and demonstrates its implementation on a distributed computing environment. We focus on society simulation, in particular traffic and crowd simulations, within any geographic area on earth. We adopt an multi-agent based approach for the different behaviors of the vehicles, drivers, and pedestrians. The proposed driving behavioral models can realistically emulate driving behaviors of humans. The resulting simulator succeeds to simulate at least more than 50,000 vehicles on the one server with a visualization.

Original languageEnglish
Title of host publicationPRICAI 2018
Subtitle of host publicationTrends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings
EditorsXin Geng, Byeong-Ho Kang
Place of PublicationSwitzerland
Number of pages13
ISBN (Electronic)9783319973043
ISBN (Print)9783319973036
Publication statusPublished - 2018
EventPacific Rim International Conference on Artificial Intelligence 2018 - Nanjing, China
Duration: 28 Aug 201831 Aug 2018
Conference number: 15th

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11012 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferencePacific Rim International Conference on Artificial Intelligence 2018
Abbreviated titlePRICAI 2018
Internet address


  • Driving behavior modeling
  • Large-scale traffic simulation
  • Multi-agent simulation
  • Society simulator

Cite this