Research on urban road congestion pricing strategy considering carbon dioxide emissions

Y. Wang, Z. Peng, K. Wang, X. Song, B. Yao, T. Feng

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)
110 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)10534-10553
Number of pages20
JournalSustainability
Volume7
Issue number8
DOIs
Publication statusPublished - 2015

Keywords

  • Bi-level programming model
  • Carbon dioxide emissions
  • Shuffled frog leaping algorithm (SFLA)
  • Traffic congestion pricing

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