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/).

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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  -