2015
Wang, Y.; Peng, Z.; Wang, K.; Song, X.; Yao, B.; Feng, T.
Research on urban road congestion pricing strategy considering carbon dioxide emissions Journal Article
In: Sustainability (Switzerland), vol. 7, iss. 8, 2015, ISSN: 20711050.
Abstract | Links | BibTeX | Tags: Bi-level programming model, Carbon dioxide emissions, Shuffled frog leaping algorithm (SFLA), Traffic congestion pricing
@article{Wang2015,
title = {Research on urban road congestion pricing strategy considering carbon dioxide emissions},
author = {Y. Wang and Z. Peng and K. Wang and X. Song and B. Yao and T. Feng},
doi = {10.3390/su70810534},
issn = {20711050},
year = {2015},
date = {2015-01-01},
journal = {Sustainability (Switzerland)},
volume = {7},
issue = {8},
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.},
keywords = {Bi-level programming model, Carbon dioxide emissions, Shuffled frog leaping algorithm (SFLA), Traffic congestion pricing},
pubstate = {published},
tppubtype = {article}
}
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.