DocumentCode :
2689383
Title :
A study on social diffusive impacts of a novel car-navigation-system sharing individual information in Urban traffic systems
Author :
Sagara, Hiroki ; Tanimoto, Jun
Author_Institution :
Kyushu Univ., Fukuoka
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
836
Lastpage :
842
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.
Keywords :
automobiles; game theory; multi-agent systems; road traffic; road vehicles; traffic engineering computing; automobile agents; car-navigation-system; evolutionary game theory; human-environment-social systems; individual information; multi-agent simulation model; route information sharing strategy; shortest time route; social diffusive impacts; social holistic utility; typical chicken type dilemma; typical minority game; urban traffic congestion problems; urban traffic systems; Evolutionary computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424557
Filename :
4424557
Link To Document :
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