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

3 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

Fingerprint

Urban Traffic
Navigation System
Navigation systems
Sharing
Railroad cars
Traffic congestion
Social Dilemma
Traffic Congestion
Automobiles
Automobile
Game theory
Evolutionary Game Theory
Multi-agent Model
Minority Game
Multi-agent Simulation
Social Systems
Dilemma
Partial Information
Information Sharing
Simulation Model

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

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

A study on social diffusive impacts of a novel car-navigation-system sharing individual information in urban traffic systems. / Sagara, Hiroki; Tanimoto, Jun.

2007 IEEE Congress on Evolutionary Computation, CEC 2007. 2007. p. 836-842 4424557 (2007 IEEE Congress on Evolutionary Computation, CEC 2007).

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

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., 4424557, 2007 IEEE Congress on Evolutionary Computation, CEC 2007, pp. 836-842, 2007 IEEE Congress on Evolutionary Computation, CEC 2007, Singapore, 9/25/07. https://doi.org/10.1109/CEC.2007.4424557
Sagara H, Tanimoto J. 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. 2007. p. 836-842. 4424557. (2007 IEEE Congress on Evolutionary Computation, CEC 2007). https://doi.org/10.1109/CEC.2007.4424557
Sagara, Hiroki ; Tanimoto, Jun. / A study on social diffusive impacts of a novel car-navigation-system sharing individual information in urban traffic systems. 2007 IEEE Congress on Evolutionary Computation, CEC 2007. 2007. pp. 836-842 (2007 IEEE Congress on Evolutionary Computation, CEC 2007).
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