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Open AccessArticle

Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions

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Transportation Management College, Dalian Maritime University, Dalian 116026, China
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School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China
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Urban Planning Group, Department of the Built Environment, Eindhoven University of Technology, P.O. Box 513, Vertigo 8.16, 5600 MB Eindhoven, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Sustainability 2015, 7(8), 10534-10553; https://doi.org/10.3390/su70810534
Received: 31 May 2015 / Revised: 20 July 2015 / Accepted: 21 July 2015 / Published: 6 August 2015
(This article belongs to the Special Issue Carbon reduction strategies and methods in transportation)
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. View Full-Text
Keywords: traffic congestion pricing; carbon dioxide emissions; bi-level programming model; shuffled frog leaping algorithm (SFLA) traffic congestion pricing; carbon dioxide emissions; bi-level programming model; shuffled frog leaping algorithm (SFLA)
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MDPI and ACS Style

Wang, Y.; Peng, Z.; Wang, K.; Song, X.; Yao, B.; Feng, T. Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions. Sustainability 2015, 7, 10534-10553.

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