Multi Layer Hierarchical Fault Prediction Based on Multi Type Data Feature

DOI

10.2991/wartia-16.2016.30How to use a DOI?

Keywords

Traffic accidents, multi-layer hierarchical, Model analysis.

Abstract

For the road traffic accidents happened in a short period of time, the application of multi layer hierarchical prediction method in road traffic accident forcast has higher prediction accuracy compared with other methods. However, we find that the average error in predictions is nearly 5%, which still can’t be regarded as the high forecasting accuracy. “Higher” used in the above sentence means relatively high, in this paper, we study on the factors which affect the accuracy of the prediction of multi layer hierarchical method further by analyzing the characteristics of historical data.

Copyright

© 2016, 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  - Li Li
AU  - Feng Gao
PY  - 2016/05
DA  - 2016/05
TI  - Multi Layer Hierarchical Fault Prediction Based on Multi Type Data Feature
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 161
EP  - 168
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.30
DO  - 10.2991/wartia-16.2016.30
ID  - Li2016/05
ER  -