基于模糊逻辑理论的公路路侧安全度评价方法

Roadside Safety Evaluation Based on Fuzzy Logic Theory

为了克服传统经典集合理论在处理公路路侧安全问题时的局限性,引入模糊逻辑理论,利用其在处理"亦此亦彼"模糊问题时的优越性对公路路侧安全度进行量化评价;构建了由路侧净区宽度满足率、离散危险物密度、离散危险物平均横向距离、连续危险物密度、连续危险物平均横向间距、路侧深度变量6个指标组成的公路路侧安全综合评价指标;随后确定经典集合理论下的评价阈值区间和评价标准以及确定模糊逻辑理论下的模糊集合和隶属函数,利用案例对比分析了基于经典集合理论和模糊集合理论的评价结果,分析结果表明基于模糊逻辑理论的公路路侧安全度评价方法比基于传统经典集合理论的公路路侧安全度评价方法更加精确。

To overcome the limitation of classical set theory in the treatment of roadside safety problems, the fuzzy logic theory was introduced, which can help to deal with the ＂This and that＂ fuzzy problems such as the quantitative evaluation of roadside safety. It built the roadside safety comprehensive index that composed of six in- dictors which are satisfaction rate of roadside clear zone width,density of discrete dangerous, average horizontal distance of discrete dangerous ,density of continuous dangerous,average horizontal distance of continuous danger- ous ~depth of roadside. After that the evaluation threshold interval and criterion were presented under the classical set theory, also the fuzzy set and membership function were proposed under the fuzzy logic theory. The case con- trasted the evaluation results which based on classical set and fuzzy set theory. The results indicate that the evalu- ation on the roadside safety based on fuzzy set theory could be more accurate than based on the classical set theo- ry.