A study on social diffusive impacts of a novel car-navigation-system sharing individual information in urban traffic systems

Hiroki Sagara, Jun Tanimoto

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

4 Citations (Scopus)

Abstract

As one of the authors' trials to establish a model for human-environment- social Systems, a multi-agent simulation model to deal with urban traffic congestion problems involving automobiles embedded with several strategies of car navigation systems (CNS), has been presented. A shortest time route with route information sharing strategy (ST-RIS) is believed to be one of the solutions for a novel CNS based on bilateral information shared among automobile agents. The question of which strategy is most appropriate for solving urban traffic congestion can be seen as a social dilemma, since the social holistic utility is opposite to each agent's individual utility. The presented model shows that this social dilemma is observed as a typical Chicken type dilemma, or as a typical Minority Game, where an agent who has adopted a minority strategy can earn more utility than other strategies. Consequently, the model has illustrated that ST-pRIS, which is a further advanced strategic form of ST-RIS, where only partial information is shared among agents, has a moderate potential to be diffused in a society from the viewpoint of the evolutionary game theory.

Original languageEnglish
Title of host publication2007 IEEE Congress on Evolutionary Computation, CEC 2007
Pages836-842
Number of pages7
DOIs
Publication statusPublished - Dec 1 2007
Event2007 IEEE Congress on Evolutionary Computation, CEC 2007 - , Singapore
Duration: Sep 25 2007Sep 28 2007

Publication series

Name2007 IEEE Congress on Evolutionary Computation, CEC 2007

Other

Other2007 IEEE Congress on Evolutionary Computation, CEC 2007
CountrySingapore
Period9/25/079/28/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'A study on social diffusive impacts of a novel car-navigation-system sharing individual information in urban traffic systems'. Together they form a unique fingerprint.

  • Cite this

    Sagara, H., & Tanimoto, J. (2007). A study on social diffusive impacts of a novel car-navigation-system sharing individual information in urban traffic systems. In 2007 IEEE Congress on Evolutionary Computation, CEC 2007 (pp. 836-842). [4424557] (2007 IEEE Congress on Evolutionary Computation, CEC 2007). https://doi.org/10.1109/CEC.2007.4424557