To identify hazardous sections of newly built mountainous highways, decision-makers require assistance to determine the sections that may pose risks to road users, thereby enhancing the level of road safety management and capital utilisation efficiency. In this research, traffic accident economic losses were used as evaluation indices to characterise 30 horizontally curved sections of roadways. These highway sections were divided into five levels based on their evaluated level of risk. With the effects of multiple factors and the characteristics of uncertainty, mathematical statistics and fuzzy expert systems (FESs) were used to determine the factors contributing to hazardous sections of mountainous highways. The membership functions and fuzzy rule base were decided according to accident data and expert experience and a method for identifying hazardous sections based on the expert systems was established. The risk values of another 35 horizontally curved sections were obtained by this method and good results were achieved using the method to identify hazardous sections. The results showed that hazardous section classification is greatly affected by the horizontal radius, grade and declination angle of the horizontal curve. The results obtained from the FESs agreed overall with actual accident data.

中文翻译：

---

使用模糊专家系统识别危险路段

为了识别新建山区公路的危险路段，决策者需要协助来确定可能对道路使用者造成风险的路段，从而提高道路安全管理水平和资本利用效率。在这项研究中，交通事故的经济损失被用作评价指标来表征30条水平弯道。这些公路路段根据评估的风险等级分为五个等级。考虑到多种因素的影响和不确定性的特点，使用数学统计和模糊专家系统（FESs）来确定导致山区公路危险路段的因素。根据事故数据和专家经验确定隶属度函数和模糊规则库，建立了基于专家系统的危险区域识别方法。通过该方法获得了另外35个水平弯曲段的风险值，使用该方法识别危险段取得了良好的效果。结果表明，危险区域的划分受水平曲线的水平半径，坡度和偏角的影响很大。从FES获得的结果总体上与实际事故数据一致。结果表明，危险区域的划分受水平曲线的水平半径，坡度和偏角的影响很大。从FES获得的结果总体上与实际事故数据一致。结果表明，危险区域的划分受水平曲线的水平半径，坡度和偏角的影响很大。从FES获得的结果总体上与实际事故数据一致。