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Risk Assessment Model of Expressway under Adverse Weather Based on Dynamic Bayes Network

机译:基于动态贝叶斯网络的恶劣天气下高速公路风险评估模型

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摘要

According to the results of risk source identification, this paper constructs the discrete DBN network structure by selecting the influential factors which have great influence on the expressway operation, then chooses timeliness as the evaluation index of dynamic DBN. Based on the discrete DBN network, this paper finally establishes a real-time expressway risk evaluation model. The validity of the above risk assessment model is demonstrated by examples.
机译:根据风险源识别的结果,本文通过选择对高速公路操作产生很大影响的影响因素来构造离散的DBN网络结构,然后选择时效作为动态DBN的评估指标。基于离散DBN网络,本文最终建立了实时高速公路风险评估模型。通过示例证明了上述风险评估模型的有效性。

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