Highway Passenger Traffic Volume Prediction of Cubic Exponential Smoothing Model Based on Grey System Theory
- DOI
- 10.2991/scict-14.2014.44How to use a DOI?
- Keywords
- highway passenger traffic volume prediction; Grey model; cubic exponential smoothing model; combination model
- Abstract
In consideration of highway passenger transportation system is a Grey system of incomplete information; this paper constructs a Grey model and a cubic- exponential-smoothing model at first. In order to avoid the shortcomings of a single model, it constructs a cubic-exponential-smoothing combination model based on Grey system theory by using the optimal weighted principle. Compared with the single model, the prediction accuracy of the cubic-exponential-smoothing combination model is higher, and the predicted results are much more reliable. So it is better suitable for highway passenger traffic volume prediction. At last, this paper gives the prediction of the National highway passenger traffic volume in the first five months of 2014.
- Copyright
- © 2014, 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 - Wenwen Liu AU - Yong Qin AU - Honghui Dong AU - Yanfang Yang AU - Zhao Tian PY - 2014/05 DA - 2014/05 TI - Highway Passenger Traffic Volume Prediction of Cubic Exponential Smoothing Model Based on Grey System Theory BT - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology PB - Atlantis Press SP - 186 EP - 190 SN - 1951-6851 UR - https://doi.org/10.2991/scict-14.2014.44 DO - 10.2991/scict-14.2014.44 ID - Liu2014/05 ER -