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

Takayuki Ito; Takanobu Otsuka; Teruyoshi Imaeda; Rafik Hadfi

doi:10.1007/978-3-319-97304-3_79

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

Takayuki Ito, Takanobu Otsuka, Teruyoshi Imaeda, Rafik Hadfi

Psychology

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	PRICAI 2018
Subtitle of host publication	Trends in Artificial Intelligence - 15th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Editors	Xin Geng, Byeong-Ho Kang
Place of Publication	Switzerland
Publisher	Springer
Pages	1031-1043
Number of pages	13
ISBN (Electronic)	9783319973043
ISBN (Print)	9783319973036
DOIs	https://doi.org/10.1007/978-3-319-97304-3_79
Publication status	Published - 2018
Event	Pacific Rim International Conference on Artificial Intelligence 2018 - Nanjing, China Duration: 28 Aug 2018 → 31 Aug 2018 Conference number: 15th http://cse.seu.edu.cn/pricai18/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11012 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Pacific Rim International Conference on Artificial Intelligence 2018
Abbreviated title	PRICAI 2018
Country/Territory	China
City	Nanjing
Period	28/08/18 → 31/08/18
Internet address	http://cse.seu.edu.cn/pricai18/

Keywords

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

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10.1007/978-3-319-97304-3_79

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). Springer. https://doi.org/10.1007/978-3-319-97304-3_79

Ito, Takayuki ; Otsuka, Takanobu ; Imaeda, Teruyoshi et al. / 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",

author = "Takayuki Ito and Takanobu Otsuka and Teruyoshi Imaeda and Rafik Hadfi",

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editor = "Geng, \{Xin \} and Byeong-Ho Kang",

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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 et al.
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 proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - An implementation of large-scale holonic multi-agent society simulator and agent behavior model

AU - Ito, Takayuki

AU - Otsuka, Takanobu

AU - Imaeda, Teruyoshi

AU - Hadfi, Rafik

N1 - Conference code: 15th

PY - 2018

Y1 - 2018

N2 - 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.

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.

KW - Driving behavior modeling

KW - Large-scale traffic simulation

KW - Multi-agent simulation

KW - Society simulator

UR - https://www.scopus.com/pages/publications/85051920133

U2 - 10.1007/978-3-319-97304-3_79

DO - 10.1007/978-3-319-97304-3_79

M3 - Conference Paper

AN - SCOPUS:85051920133

SN - 9783319973036

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 1031

EP - 1043

BT - PRICAI 2018

A2 - Geng, Xin

A2 - Kang, Byeong-Ho

PB - Springer

CY - Switzerland

T2 - Pacific Rim International Conference on Artificial Intelligence 2018

Y2 - 28 August 2018 through 31 August 2018

ER -

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 BH, 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)). doi: 10.1007/978-3-319-97304-3_79

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

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Keywords

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