Analysis of Urban Road Congestion Pricing Based on Game Theory

被引：1

作者：

Zhu Guang-qin ^{[1
]}

Tong Guang-ji ^{[1
]}

Dai Lei-lei ^{[2
]}

机构：

[1] Northeast Forestry Univ, Sch Econ & Management, Harbin 150040, Peoples R China

[2] Harbin Inst Tech, Sch Traff Sci & Engn, Harbin 150090, Peoples R China

来源：

2008 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (15TH), VOLS I AND II, CONFERENCE PROCEEDINGS | 2008年

关键词：

urban road; traffic demand; congestion pricing; game theory;

D O I：

10.1109/ICMSE.2008.4669133

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：1693 / +

页数：2

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