Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Research on Earning Warning of Railway Freight Based on Support Vector Regression (SVR)

Authors
Lingyan Cheng, Shiwei He, Weichuan Yin
Corresponding Author
Lingyan Cheng
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.504How to use a DOI?
Keywords
Earning Warning, Railway Freight, SVR
Abstract
The traditional railway freight early warning adopted independent indicator thresholds discrimination. But it would lead to inaccurate results warnings, it may alarms when abnormal events occur instead of early warning. This paper proposes a railway freight early warning model, which apply support vector regression (SVR) to rail freight early warning. this model could find their variation, sum up the formation of abnormal alarm mod by analyzing historical indicators, including of number of booking railway freight vehicles, loading vehicles, freight volume and freight turnover quantity. Early warning signals will be given when an exception occurs at the beginning of freight. Early analysis and processing potential risk are as to stabilize railway freight market. Experimental result shows a high prediction accuracy of this model for the railway freight market.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Lingyan Cheng
AU  - Shiwei He
AU  - Weichuan Yin
PY  - 2015/12
DA  - 2015/12
TI  - Research on Earning Warning of Railway Freight Based on Support Vector Regression (SVR)
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.504
DO  - https://doi.org/10.2991/icmmcce-15.2015.504
ID  - Cheng2015/12
ER  -