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Indexed by:期刊论文

Date of Publication:2015-08-01

Journal:SUSTAINABILITY

Included Journals:SCIE、SSCI、Scopus

Volume:7

Issue:8

Page Number:10534-10553

ISSN No.:2071-1050

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

Abstract: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.