American Society of Civil Engineers

Study on the Model of Urban Road Congestion Charging

by Xiaoxia Li, (Automobile Institute, Chang’an University, Middle of South 2nd Ring, Xian (710064) China. E-mail:, Dijie Li, (China Merchants Pacific Infrastructure Management (Shenzhen) Co., Ltd., 26/F, Plaza, Shekou, Shenzhen (518067), China. E-mail:, and Lihua Xue, (Automobile Service Department, Zhejiang Traffic Technician College, Wang Fu Street 1158, Jinhua (321015), China. E-mail:
Section: Traffic Operation, Management, and Control, pp. 1288-1295, (doi:

     Access full text
     Purchase Subscription
     Permissions for Reuse  

Document type: Conference Proceeding Paper
Part of: ICCTP 2011: Towards Sustainable Transportation Systems
Abstract: Based on random stream distribution theory of traffic engineering and taking the random property of Traveler’s Path Choice into account, establishes an urban road network congestion charging double-level planning model by Logit model. Leader takes entire traffic network system optimum and total travel cost minimum under equilibrium as the objective function. Follower takes each road traffic flow optimum as the objective function. Solve the model by method of successive algorithm and penalty function, and tests by simulated dates, the result shows that trip cost would cut down 12.75% by congestion charging under a simulated road network, and the established model could relieve urban road congestion effectively.

ASCE Subject Headings:
Urban areas
Traffic congestion