Prediction Model of Expressway Natural Risk Loss

DOI

10.2991/icmeit-19.2019.43How to use a DOI?

Keywords

Expressway; nature risk; prediction; chaos theory; neural network.

Abstract

Natural risks of expressway remain an important part of its operation risks. However, due to the variety, universality, locality and suddenness of natural risks, the prediction of expressway natural risks is difficult to forecast and control. In this paper, the expressway natural risk loss prediction model is established by the combining method of Chaos theory and Neural network according to the accident percentage data of rainy weather in recent 20 years in Shandong province. The use of this combining method can solve the problem of uncertain risk factors in expressway operation risks and can provide for decision-making reference and data support for expressway management and operation departments.

Copyright

© 2019, 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  - Bo Wang
AU  - Yanping Zhou
AU  - Yufeng Bi
AU  - Qiangqiang Jing
AU  - Qiangmin Zhang
AU  - Jie Song
PY  - 2019/04
DA  - 2019/04
TI  - Prediction Model of Expressway Natural Risk Loss
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 250
EP  - 255
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.43
DO  - 10.2991/icmeit-19.2019.43
ID  - Wang2019/04
ER  -