DocumentCode :
3327070
Title :
Analysis of urban road congestion pricing based on game theory
Author :
Guang-qin Zhu ; Guang-ji Tong ; Lei-lei Dai
Author_Institution :
Sch. of Econ. & Manage., Northeast Forestry Univ., Harbin
fYear :
2008
fDate :
10-12 Sept. 2008
Firstpage :
1693
Lastpage :
1697
Abstract :
Based on the economic analysis of urban road congestion pricing, game theory methods was applied for the analysis of car users travel behavior. The final game results indicated that car users would not take the initiative to choose other modes of transport, so we must have the involvement of traffic managers to solve the traffic congestion problem. Game analysis was further applied to analyze the relations between car users and traffic managers based on constructing consumer utility function, and the influencing factors of road congestion pricing were discussed. An algorithm of congestion pricing was designed based on game theory model. The results showed that the algorithm could compute congestion toll with the extent of road congestion, which might benefit the road congestion pricing and traffic management.
Keywords :
automobiles; game theory; pricing; road traffic; utility theory; car user travel behavior analysis; consumer utility function; economic analysis; game theory model; road traffic management; urban road congestion pricing algorithm; Conference management; Costs; Engineering management; Game theory; Pricing; Road vehicles; Space vehicles; Supply and demand; Technology management; Traffic control; congestion pricing; game theory; traffic demand; urban road;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-2387-3
Electronic_ISBN :
978-1-4244-2388-0
Type :
conf
DOI :
10.1109/ICMSE.2008.4669133
Filename :
4669133
Link To Document :
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