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

DOI

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.

Copyright

© 2017, 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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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  - Proceedings of the 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  - 10.2991/emcm-16.2017.83
ID  - Duan2017/02
ER  -