Wide-area traffic simulation based on driving behavior model

Yuu Nakajima*, Yoshiyuki Nakai, Hattori Hiromitsu, Toru Ishida

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Multiagent-based simulations are a key part of several research fields. Multiagent-based simulations yield multiagent societies that well reproduce human societies, and so are seen as an excellent tool for analyzing the real world. A multiagent-based simulation allows crowd behavior to emerge through interactions among agents where each agent is affected by the emerging crowd behavior. The interaction between microscopic and macroscopic behaviors has long been considered an important issue, termed the "micro-macro problem", in the field of sociology, but research on the issue is still premature in the engineering domain. We are focusing on citywide traffic as a target problem and are attempting to realize mega-scale multiagent-based traffic simulations. While macro-level simulations are popular in the traffic domain, it has been recognized that micro-level analysis is also beneficial. However, there is no software platform that can realize analyses based on both micro and macro viewpoints due to implementation difficulties. In this paper, we propose a traffic simulation platform that can execute citywide traffic simulations that include driving behavior models. Our simulation platform enables the introduction of individual behavior models while still retaining scalability.

Original languageEnglish
Title of host publicationPrinciples of Practice in Multi-Agent Systems - 12th International Conference, PRIMA 2009, Proceedings
Number of pages12
Publication statusPublished - 2009 Dec 1
Externally publishedYes
Event12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009 - Nagoya, Japan
Duration: 2009 Dec 142009 Dec 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5925 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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