Chapter
Apr 26, 2012
Traffic Modal Splitting Model Based on Game Theory with Incomplete Information
Authors: Chunjiao Dong [email protected], Chunfu Shao [email protected], Yuewen Gao, Yinhong Liu, and Dan ZhaoAuthor Affiliations
Publication: Traffic and Transportation Studies 2010
Abstract
Traffic modal splitting plays an important role in the traditional four-stages-forecast model. Usually in a stable urban traffic network, traffic supply can meet the demand basically, and a variety of traffic modal will bear a fixed proportion of passengers. Compared with other trip mode, public transportation is often influenced by some uncertain factors, e.g. transferring and waiting, which will cause different marginal cost and finally come to a new balance or imbalance between demand and supply. In this paper, traffic modal was supposed as a rational gamer, and generalized trip cost was considered as the cost of gamer. Then, traffic mode share can finally be got via comparing supply of all kinds of traffic means. A case study is conducted and compared with disaggregate modal, which shows the game theory-based model is more effective and the outcome is closer to the real traffic modal share.
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© 2010 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Benefit cost ratios
- Business management
- Case studies
- Decision making
- Engineering fundamentals
- Financial management
- Game theory
- Infrastructure
- Methodology (by type)
- Models (by type)
- Passengers
- Practice and Profession
- Public transportation
- Research methods (by type)
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
- Transportation management
- Transportation networks
- Urban and regional development
- Urban areas
Authors
Affiliations
MOE Key Laboratory for Transportation Complex Systems Theory and Technology, School of Traffic & Transportation, Beijing Jiaotong University, P.O. Box 100044, Beijing, Haidian District Shang Yuan Cun 3#, China.E-mail: [email protected]
MOE Key Laboratory for Transportation Complex Systems Theory and Technology, School of Traffic & Transportation, Beijing Jiaotong University, P.O. Box 100044, Beijing, Haidian District Shang Yuan Cun 3#, China.E-mail: [email protected]
Yuewen Gao
Transportation Planning & Design Department, Tianjin Bohai Urban Planning & Design Institute, P.O. Box 300450, Tianjin, Tanggu District Zhongxin North Road, Sunny Zone 2-1-02, P.R.China
Yinhong Liu
MOE Key Laboratory for Transportation Complex Systems Theory and Technology, School of Traffic & Transportation, Beijing Jiaotong University, P.O. Box 100044, Beijing, Haidian District Shang Yuan Cun 3#, China
Dan Zhao
MOE Key Laboratory for Transportation Complex Systems Theory and Technology, School of Traffic & Transportation, Beijing Jiaotong University, P.O. Box 100044, Beijing, Haidian District Shang Yuan Cun 3#, China
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