In this study, an experiment 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), is 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 authors assume several strategies including ST-RIS for agents, which are defined differently in terms of their information-handling process. The question of which strategy is most appropriate for solving urban traffic congestion can be seen as a social dilemma, because social holistic utility may conflict with an agent's individual utility. The presented model shows that this social dilemma can be 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 compared to when other strategies are used. Consequently, the model has illustrated that shortest time route with partial route information sharing strategy (ST-pRIS), which is an advanced strategic form of ST-RIS in which only partial information is shared among agents, has moderate potential to be diffused in a society from the viewpoint of the evolutionary game theory.
Social diffusive impact analysis based on evolutionary computations for a novel car navigation system sharing individual information in urban traffic systems
Analyse sozialer Auswirkungen auf die evolutionären Berechnungen eines neuartigen Fahrzeugnavigationssystems mit Mitteilung individueller Informationen in einem städtischen Verkehrssystem
The Journal of Navigation ; 64 , 4 ; 711-725
2011
15 Seiten, 9 Bilder, 3 Tabellen, 27 Quellen
Article (Journal)
English
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