Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions

Sustainability

Yitian Wang¹  Zixuan Peng¹  Keming Wang¹  Xiaolin Song¹  Baozhen Yao³  Tao Feng² 

[1] Transportation Management College, Dalian Maritime University, Dalian 116026, China; E-Mails:;Urban Planning Group, Department of the Built Environment, Eindhoven University of Technology, P.O. Box 513, Vertigo 8.16, 5600 MB Eindhoven, The Netherlands; E-Mail:;School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China

关键词: traffic congestion pricing;    carbon dioxide emissions;    bi-level programming model;    shuffled frog leaping algorithm (SFLA);   

DOI  :  10.3390/su70810534

来源: mdpi

【 摘 要 】

Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective function of the upper level model is to minimize the sum of travel costs and the carbon dioxide emissions costs. The lower level is a multi-modal transportation network equilibrium model. To solve the model, the method of successive averages (MSA) and the shuffled frog leaping algorithm (SFLA) are introduced. The proposed method and algorithm are tested through the numerical example. The results show that the proposed congestion pricing strategy can mitigate traffic congestion and reduce carbon emissions effectively.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.