Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Adding-weight One- rank Local Predication Model of Busy Traffic based on Correlation

Authors
Zhimei Duan, Xiaojin Yuan, Yan Xiong
Corresponding Author
Zhimei Duan
Available Online February 2017.
DOI
https://doi.org/10.2991/emcm-16.2017.83How to use a DOI?
Keywords
Correlation; Parameter identification; Adding-weight one-rank local prediction model; Busy traffic; Prediction
Abstract
In order to improve accuracy of adding-weight one-rank local prediction, the paper proposed the correlation function to measure the correlation between different phase points, which is used to determine reference neighborhood of prediction center point, and made the values of expressing correlation to act on model by means of adding-weight, derived the identification algorithm of model parameters. Applied prediction model to prediction of busy traffic; the results show that the model effectively improves prediction accuracy of busy traffic, verifying the relevant function to measure the effectiveness of the phase correlation between different phase points.
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Proceedings
2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Part of series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-16.2017.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhimei Duan
AU  - Xiaojin Yuan
AU  - Yan Xiong
PY  - 2017/02
DA  - 2017/02
TI  - Adding-weight One- rank Local Predication Model of Busy Traffic based on Correlation
BT  - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.83
DO  - https://doi.org/10.2991/emcm-16.2017.83
ID  - Duan2017/02
ER  -