Mountainous highway slopes are characterized by their point-like distribution, large number, relatively small scale, and susceptibility to human activities and environmental changes. Overall monitoring and assessment of slopes are necessary to detect hazards in a timely manner and prepare disaster prevention measures in advance. There is a lack of integration and utilization of monitoring data, and the slope safety evaluation system is not mature. In response to these problems, this study uses real-time monitoring data of highway slopes as the research object. Real-time monitoring data of multisource monitoring indicators are used to evaluate and provide early warning on the degree of safety of the highway slopes. The main research includes the following: (1) Construction of an online monitoring system for highway slopes. This study analyzes the sensitivity of the slope???s influencing factors and the deformation characteristics of slopes along mountainous highway slopes. The application principles of monitoring indicators, points, and monitoring networks are created. (2) Highway slope stability evaluation hierarchical models are generated from monitoring the index layer to the judgment criterion layer based on multisource monitoring indexes. According to the analytic hierarchy process???fuzzy comprehensive evaluation methods, the real-time stability level of the slopes is determined on the basis of the stability assessment data set. (3) A real-time evaluation model was applied to the stability evaluation of slopes. The established model is suitable for stability evaluation and security classification of highway slopes in mountain areas. From the evaluation results, heavy rainfall is the main reason for the safety level reduction of slopes in mountain areas. According to monitoring items, the system can evaluate the safety level of slopes and monitor the subsidence of mountain highway subgrades and geological disasters, such as landslides and collapses, along mountain highways in real time.
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