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

Abstract

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
PublisherSpringer
Pages1031-1043
Number of pages13
ISBN (Electronic)9783319973043
ISBN (Print)9783319973036
DOIs
Publication statusPublished - 2018
EventPacific Rim International Conference on Artificial Intelligence 2018 - Nanjing, China
Duration: 28 Aug 201831 Aug 2018
Conference number: 15th
http://cse.seu.edu.cn/pricai18/

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

Conference

ConferencePacific Rim International Conference on Artificial Intelligence 2018
Abbreviated titlePRICAI 2018
CountryChina
CityNanjing
Period28/08/1831/08/18
Internet address

Keywords

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

Cite this

Ito, T., Otsuka, T., Imaeda, T., & Hadfi, R. (2018). An implementation of large-scale holonic multi-agent society simulator and agent behavior model. In X. Geng, & B-H. Kang (Eds.), PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings (pp. 1031-1043). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11012 LNAI). Switzerland: Springer. https://doi.org/10.1007/978-3-319-97304-3_79
Ito, Takayuki ; Otsuka, Takanobu ; Imaeda, Teruyoshi ; Hadfi, Rafik. / An implementation of large-scale holonic multi-agent society simulator and agent behavior model. PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings. editor / Xin Geng ; Byeong-Ho Kang. Switzerland : Springer, 2018. pp. 1031-1043 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "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.",
keywords = "Driving behavior modeling, Large-scale traffic simulation, Multi-agent simulation, Society simulator",
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Ito, T, Otsuka, T, Imaeda, T & Hadfi, R 2018, An implementation of large-scale holonic multi-agent society simulator and agent behavior model. in X Geng & B-H Kang (eds), PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11012 LNAI, Springer, Switzerland, pp. 1031-1043, Pacific Rim International Conference on Artificial Intelligence 2018, Nanjing, China, 28/08/18. https://doi.org/10.1007/978-3-319-97304-3_79

An implementation of large-scale holonic multi-agent society simulator and agent behavior model. / Ito, Takayuki; Otsuka, Takanobu; Imaeda, Teruyoshi; Hadfi, Rafik.

PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings. ed. / Xin Geng; Byeong-Ho Kang. Switzerland : Springer, 2018. p. 1031-1043 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11012 LNAI).

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

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AB - 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.

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KW - Society simulator

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Ito T, Otsuka T, Imaeda T, Hadfi R. An implementation of large-scale holonic multi-agent society simulator and agent behavior model. In Geng X, Kang B-H, editors, PRICAI 2018: Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Switzerland: Springer. 2018. p. 1031-1043. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-97304-3_79