高等级公路沥青路面状况的相对熵评价模型

Relative Entropy Based Evaluation Model for Asphalt Pavement Condition

利用相对熵K—L距离具有辨识两种概率分布符合程度的特性,建立了高等级公路沥青路面状况的相对熵评价模型。选择路面破损指标(PCI)、平整度指标(SSI)、路面强度指标(RQI)、路面抗滑指标(SFC)、车辙深度指标(RD)及交通轴载指标(JZZ)共6个指标组成评价指标体系。通过对分类标准界值和实际路面检测值的标准化处理,使其满足相对熵计算的要求;采用线性内插细化分类标准,提高了模型的分辨率,使分类过程更加简单易行。K—L距离最小值对应的等级即为评价对象所属的路面状况类别。3个案例的计算结果表明,该模型物理意义明晰,计算过程简捷,对于评价指标均衡性较差的评价对象通过模型本身的作用施加了惩罚效应,使得评价结果更好地反映路面的实际状况。

A relative entropy based evaluation model for freeway＇ s asphalt pavement condition is proposed in this paper. Six indicators, i. e. ,PCI, SSI, RQI, SFC, RD, JZZ are selected to construct the evaluation indicator system. By standardizing the index values of both control standard and testing data, the requirement for applying the relative entropy is reached. And linear interpolation is applied to the interval numbers of standard boundaries,which increases the control grade in the control standard and improve the resolution of the model as well. The grade of evaluating subject is corresponding to the minimum K-L distance. This model is recommended for its clear modeling, tangible physical significance and simple calculations. Calculation results of three practical examples show that the proposed model is concise of calculation, stable of classification index and fitting well to the practical situations.