Chapter
Apr 26, 2012
Optimal Toll-Area and Toll-Level Design of Road Networks on Baseof Second-Best Multi-Class Based Congestion Pricing Theory
Authors: Yao Hongyun [email protected], Meng Jingyu [email protected], Feng Xiao, and Christopher Garlick [email protected]Author Affiliations
Publication: Transportation and Development Innovative Best Practices 2008
Abstract
Congestion pricing strategy as a traffic demand management measure is widely accepted by the public. However, there is little focus on the research of optimal toll-areas. This paper puts forward the Second-best multi-class based bi-level planning model of road network congestion pricing in elastic demand, where the upper level model attempts to maximize the network social welfare by trying different tolls on some roads and the lower level model describes the route choice behavior of network users. A Multi-class user equilibrium Frank-Wolfe algorithm is used for the lower level model and a differential quotient algorithm of bi-level planning model is employed to find the optimal solution after function evaluations. Finally, on basis of the above model and algorithm, the optimal toll area is computed its toll level is simultaneously designed.
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© 2008 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Business management
- Computer models
- Contracts and subcontracts
- Design (by type)
- Engineering fundamentals
- Highway and road design
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Mathematics
- Models (by type)
- Practice and Profession
- Pricing
- Tolls
- Traffic congestion
- Traffic engineering
- Traffic management
- Transportation engineering
- Transportation management
Authors
Affiliations
Transportation College, Chongqing Communication University, Chongqing 400074, China,. E-mail: [email protected]
Chongqing yuda road and bridge company, Chongqing 400074, China,. E-mail: [email protected]
Feng Xiao
Engineering and Structure College, Chongqing Communication University, Chongqing 400074, China
P.E.
PBS&J, Orlando, FL. E-mail: [email protected]
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