[Apr 10] Xiaolei WANG: Design and Implementation of Tradable Congestion Credit for Network Mobility Management

Lecture name: 
Design and Implementation of Tradable Congestion Credit for Network Mobility Management
Lecturer: 
Xiaolei WANG
Time: 
Apr 10, 2014 13:00
Venue: 
Conference Hall, CTC College Building
Digest: 

In face of urgent traffic congestion problem around the world and consistent public resistance to congestion pricing, Yang and Wang (2011) recently proposed an alternative to road pricing―tradable credit scheme. Under a tradable credit scheme, the social planner initially distributes a number of credits to all eligible travelers at the beginning of each time period (e.g.one month or one quarter). Travelers then use these credits as a payment for the privilege to drive on any link of the network, but the amount of credits to be charged by the planner from road users is link-specific. To enhance economic efficiency, credits are allowed to be traded freely among travelers. Such credit trading can be performed at either online trading platform or offline trading stores. The government is in charge of monitoring the market, but is not allowed to enter the market as a buyer or seller. Meanwhile, on-road credit charging will be exercised through electronic system, like the existing Electronic Road Pricing (ERP) system which is composed of vehicle presence detectors and in-vehicle units. Given a tradable credit scheme, the user equilibrium (UE) and market equilibrium (ME) conditions with heterogeneous users are formulated into a variational inequalities (VI) problem. Sufficient conditions for uniqueness of the aggregate UE link flows and then the ME credit price are established. Appropriate tradable credit schemes are developed to decentralize system optimal and Pareto-improving network flow patterns.

Lecturer's profile: 

王晓蕾博士,上海交通大学中美物流研究院助理研究员。2012年8月博士毕业于香港科技大学,师从交通领域的国际知名学者杨海教授。王晓蕾博士一直致力于交通经济学、均衡理论、交通政策设计的学习和研究,已在SCI/SSCI检索的国际期刊上发表论文10篇,其中6篇发表在交通领域顶级期刊Transportation Research Part B和Transportation Science上,累计被引用83次,并有2篇入选Transportation Research Part B季度最热门的25篇文章之一。