Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Investigation of the relationship between vehicle number in Changzhou and air pollution

Authors
Yang Le, Jiajie You
Corresponding Author
Yang Le
Available Online November 2016.
DOI
10.2991/icmia-16.2016.50How to use a DOI?
Keywords
ARIMA model, AQI, vehicle pollution, emission reduction
Abstract

Along with economic development, the number of vehicles in China grows rapidly. Vehicle emission has become a major source of pollution in urban settings. Based on data on the number of vehicles from 2004 to 2014 in Changzhou, the ARIMA model is built to predict the number of vehicles from 2015 to 2020. A comparison of the AQI in Changzhou between 2014 and 2015 shows that both the improvement of standards for vehicle fuel and the dissemination of new technology in clean-energy cars can help improve air quality.

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/).

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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/icmia-16.2016.50
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.50How 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  - Yang Le
AU  - Jiajie You
PY  - 2016/11
DA  - 2016/11
TI  - Investigation of the relationship between vehicle number in Changzhou and air pollution
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SP  - 280
EP  - 285
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.50
DO  - 10.2991/icmia-16.2016.50
ID  - Le2016/11
ER  -