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
Link To Document :
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