| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 02047 | |
| Number of page(s) | 5 | |
| Section | Research on Energy Consumption and Energy Industry Benefit | |
| DOI | https://doi.org/10.1051/e3sconf/202125702047 | |
| Published online | 12 May 2021 | |
Study on risk assessment of expressway nighttime maintenance construction: A Dynamic Bayesian Network model
South China University of Technology, School of Mechanical and Automotive Engineering, 510641 Wushan Road, Guangzhou, Guangdong, PR China
* Corresponding author: zhentian@scut.edu.cn
There are many risk factors and large uncertainties in expressway nighttime maintenance construction(ENMC), and the state of risk factors will change dynamically with time. In this study, a Dynamic Bayesian Network (DBN) model was proposed to investigate the dynamic characteristics of the time-varying probability of traffic accidents during expressway maintenance at night. Combined with Leaky Noisy-or gate extended model, the calculation method of conditional probability is determined . By setting evidences for DBN reasoning, the time series change curve of the probability of traffic accidents and other risk factors are obtained. The results show that DBN can be applied to risk assessment of ENMC.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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