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Mathematical Problems in Engineering
Volume 2014, Article ID 132936, 5 pages
Research Article

Managing Rush Hour Congestion with Lane Reversal and Tradable Credits

Qing Li1,2 and Ziyou Gao1

1School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
2Department of Statistics, College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China

Received 11 April 2014; Revised 21 June 2014; Accepted 1 July 2014; Published 4 August 2014

Academic Editor: X. Zhang

Copyright © 2014 Qing Li and Ziyou Gao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Within the morning and evening rush hour, the two-way road flows are always unbalanced in opposite directions. In order to make full advantage of the existing lanes, the two-way road lane has to be reallocated to play the best role in managing congestion. On the other hand, an effective tradable credit scheme can help to reduce the traffic demand and improve fairness for all travelers. So as to alleviate the commute congestion in urban transportation network, a discrete bilevel programming model is established in this paper. In the bilevel model, the government at the upper level reallocates lanes on the two-way road to minimize the total system cost. The traveler at the lower level chooses the optimal route on the basis of both travel time and credit charging for the lanes involved. A numerical experiment is conducted to examine the efficiency of the proposed method.