基于 CBR 的高速公路路基安全风险预测

摘要

路基安全是高速公路建设管理的重要内容，然而，传统的风险预测方法难以满足预测精度的需要。本文运用模糊数学的有关理论，介绍了一个基于案例推理（CBR）的高速公路路基安全风险预测模型，并结合实际进行了应用检验。实例表明，该方法具有对案例库的更新功能，能够为高速公路路基安全风险预测提供有价值的参考依据。%The roadbed security is an important part of highway construction management,howev-er,traditional risk prediction methods are difficult to meet the needs of the prediction accuracy.In this paper,by using the theory of fuzzy mathematics,introduces a Case-based reasoning (CBR )of highway roadbed security risk prediction model,combined with the practical application test.The examples show that the method has a function of updating the case database,and provides valuable reference in the high-way roadbed security risk prediction.