Modelling car drivers as believable autonomous agents for a traffic control training game

Levon Ter-Isahakyan, Jerzy W. Jaromczyk

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

1 Scopus citations

Abstract

In the context of a training game for road traffic controllers, we discuss issues related to representing and implementing car drivers and their interaction with the driving environment to achieve behavior that fits the definition of believable agents. Drivers are implemented as autonomous agents with a set of individualized characteristics describing "driver personality" that affect their reaction time, tendencies for speeding, etc. Such autonomous agents interact with other cars, obstacles, traffic signals and traffic controllers - who can change traffic patterns - and serve to support simple and believable game simulation and allow instructors to create interesting and representative training units.

Original languageEnglish
Title of host publicationProceedings of CGAMES'2012 USA - 17th International Conference on Computer Games
Subtitle of host publicationAI, Animation, Mobile, Interactive Multimedia, Educational and Serious Games
Pages242-247
Number of pages6
DOIs
StatePublished - 2012
Event17th International Conference on Computer Games, CGAMES 2012 - Louisville, KY, United States
Duration: Jul 30 2012Aug 1 2012

Publication series

NameProceedings of CGAMES'2012 USA - 17th International Conference on Computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational and Serious Games

Conference

Conference17th International Conference on Computer Games, CGAMES 2012
Country/TerritoryUnited States
CityLouisville, KY
Period7/30/128/1/12

Keywords

  • autonomous agents
  • instruction and training
  • serious games
  • simulation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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