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Discrete Dynamics in Nature and Society
Volume 2015, Article ID 769251, 9 pages
Research Article

Research on Congestion Pricing in Multimode Traffic considering Delay and Emission

Hongna Dai,1,2 Enjian Yao,1,3,4 and Rui Zhao5

1MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
2Shandong Provincial Transport Scientific Research Institute, Jinan 250031, China
3Center of Cooperative Innovation for Beijing Metropolitan Transportation, Beijing 100044, China
4School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
5Changchun Municipal Engineering Design and Research Institute, Changchun 130033, China

Received 18 July 2014; Revised 24 September 2014; Accepted 25 September 2014

Academic Editor: Wuhong Wang

Copyright © 2015 Hongna Dai et al. 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.


Rapid development of urbanization and automation has resulted in serious urban traffic congestion and air pollution problems in many Chinese cities recently. As a traffic demand management strategy, congestion pricing is acknowledged to be effective in alleviating the traffic congestion and improving the efficiency of traffic system. This paper proposes an urban traffic congestion pricing model based on the consideration of transportation network efficiency and environment effects. First, the congestion pricing problem under multimode (i.e., car mode and bus mode) urban traffic network condition is investigated. Second, a traffic congestion pricing model based on bilevel programming is formulated for a dual-mode urban transportation network, in which the delay and emission of vehicles are considered. Third, an improved mathematical algorithm combining successive average method with the genetic algorithm is proposed to solve the bilevel programming problem. Finally, a numerical experiment based on a hypothetical network is performed to validate the proposed congestion pricing model and algorithm.