A Driver Modeling Methodology Using Hypothetical Reasoning for Multiagent Traffic Simulation

Yusuke Tanaka*, Yuu Nakajima, Hiromitsu Hattori, Toru Ishida

*この研究の対応する著者

研究成果

3 被引用数 (Scopus)

抄録

We propose how to acquire driver's individual operation models using the three-dimensional driving simulator in order to implement distinct personalities on each agent. In this paper, operation models are defined as sets of prioritized operation rules, each of which consists of the world as observed by a driver and his/her next operation according to the observation. Each driver might have different set of rules and their priorities. We apply a method to acquire individual operation models using hypothetical reasoning. Because of the method, we are able to obtain operation models which can explain driver's operation during driving simulation. We show some operation models acquired from aged/young human drivers, and then clarify the proposed method can catch each driver's characteristics.

本文言語English
ホスト出版物のタイトルAgent Computing and Multi-Agent Systems - 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Revised Papers
ページ278-287
ページ数10
DOI
出版ステータスPublished - 2009
外部発表はい
イベント10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007 - Bangkok, Thailand
継続期間: 2007 11 212007 11 23

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5044 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007
国/地域Thailand
CityBangkok
Period07/11/2107/11/23

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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