Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Prediction Model of Expressway Natural Risk Loss

Authors
Bo Wang, Yanping Zhou, Yufeng Bi, Qiangqiang Jing, Qiangmin Zhang, Jie Song
Corresponding Author
Bo Wang
Available Online April 2019.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 250
EP  - 255
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.43
DO  - https://doi.org/10.2991/icmeit-19.2019.43
ID  - Wang2019/04
ER  -