Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science

Research On Low-carbon Optimization Model Of City Traffic

Authors
Mingyang Cui, Qi Zhang
Corresponding Author
Mingyang Cui
Available Online May 2016.
DOI
10.2991/aeecs-16.2016.28How to use a DOI?
Keywords
Low carbon; Traffic; Optimization model; Zhengzhou
Abstract

Climate change has been one of the most serious problems faced by people. In order to reduce CO2 emission, the study is to analyze reasonable traffic mode shares through the proposed optimization model. On the basis of literature review and experience on low carbon planning in traffic system, an optimization model is constructed with the objective of maximizing the ratio of traffic efficiency to carbon emissions by using fractional programing. The constraints include the aspects of traffic demand, development scales requirements, pollutant emissions, energy and land use. This paper analyses the case of Zhengzhou and combines the future plan, which can provide solid supports for the relevant decisions made by traffic sectors.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-194-0
ISSN
2352-5401
DOI
10.2991/aeecs-16.2016.28How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mingyang Cui
AU  - Qi Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Research On Low-carbon Optimization Model Of City Traffic
BT  - Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science
PB  - Atlantis Press
SP  - 129
EP  - 134
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-16.2016.28
DO  - 10.2991/aeecs-16.2016.28
ID  - Cui2016/05
ER  -