Adding-weight One- rank Local Predication Model of Busy Traffic based on Correlation
Zhimei Duan, Xiaojin Yuan, Yan Xiong
Available Online February 2017.
- https://doi.org/10.2991/emcm-16.2017.83How to use a DOI?
- Correlation; Parameter identification; Adding-weight one-rank local prediction model; Busy traffic; Prediction
- 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.
- 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 -