DocumentCode
2972592
Title
Game Theory Choice Model for Public Transportation Priority Take Nanjing for Example
Author
Wang, Chen ; Chen, Jun
fYear
2008
fDate
2-3 Aug. 2008
Firstpage
423
Lastpage
429
Abstract
Public transportation priority is the most effective way to improve the efficiency of the public transportation which is the most important part of the urban transportation. For the choice of the public transportation priority, the methods usually used now in China are not very imprecise for consideration of the indices´ weights. The paper introduces game theory and sets up the choice model for the public transportation priority by identifying the function of payoff and the aggregate of participants and stratagems. Then it analyses the existence of NASH equilibrium and puts forward the arithmetic of iterated elimination of strictly dominated strategies in the general condition and the mixed strategies in the special condition. At last, it verifies the feasibility of the model with the example in Nanjing.
Keywords
game theory; transportation; NASH equilibrium; game theory choice model; iterated elimination; public transportation priority; strictly dominated strategies; urban transportation; Aggregates; Arithmetic; Economics; Game theory; Intelligent transportation systems; Nash equilibrium; Power electronics; Power system modeling; Road transportation; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Intelligent Transportation System, 2008. PEITS '08. Workshop on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3342-1
Type
conf
DOI
10.1109/PEITS.2008.18
Filename
4634889
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