A Driver Modeling Methodology Using Hypothetical Reasoning for Multiagent Traffic Simulation

Yusuke Tanaka, Yuu Nakajima, Hiromitsu Hattori, Toru Ishida

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

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAgent Computing and Multi-Agent Systems - 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Revised Papers
Pages278-287
Number of pages10
DOIs
Publication statusPublished - 2009 Jul 17
Event10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007 - Bangkok, Thailand
Duration: 2007 Nov 212007 Nov 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5044 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tanaka, Y., Nakajima, Y., Hattori, H., & Ishida, T. (2009). A Driver Modeling Methodology Using Hypothetical Reasoning for Multiagent Traffic Simulation. In Agent Computing and Multi-Agent Systems - 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Revised Papers (pp. 278-287). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5044 LNAI). https://doi.org/10.1007/978-3-642-01639-4_24