DocumentCode
2745925
Title
Urban Road Congestion Pricing Based on Game Theory
Author
Luo, Qing-yu ; Juan, Zhi-cai ; Gao, Lin-jie
Author_Institution
Transp. & Traffic Coll., Jilin Univ., Changchun, China
fYear
2009
fDate
6-7 June 2009
Firstpage
139
Lastpage
142
Abstract
Researches on urban road congestion pricing method are the core of congestion pricing theories. Firstly, the paper sets forth the objects and influencing factors of congestion pricing as a base. External congestion cost, traffic volume, traffic demand flexibility and urban economic development are key influencing factors. The congestion pricing method should be devised in accordance with its purposes, and the influencing factors should de considered. Then it makes deep researches on the game model of congestion pricing. The optimal pricing rate can be found out when it has been put into the game models as a variable and the equilibrium strategy has been reckoned. It puts forward a congestion pricing method based on the Principal-Agent game model. The road traffic governor is a principal, and travelers are agents. The principal want the agents to act in accordance with the objectives of an optimal system--maximized social benefits, but agents make choices according to their own optimal utilities. The principal controls the actions of agents through charging for vehicles at congested sections. Agents choose right actions to meet the conditions. Also, an example is analyzed to demonstrate the application and feasibility of the pricing method. It provides a new thought to analyze congestion pricing based on Game Theory.
Keywords
game theory; pricing; road traffic; congestion pricing method; game theory; principal-agent game; road traffic governor; urban economic development; urban road congestion pricing; Conference management; Costs; Educational institutions; Electronic commerce; Game theory; Pareto optimization; Pricing; Resource management; Road transportation; Traffic control; Principal-Agent game model; congestion pricing; game theory; pricing method;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3661-3
Type
conf
DOI
10.1109/ECBI.2009.31
Filename
5189504
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