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采用德尔菲法分别从路面铺装情况、公路技术等级和公路使用年份三种因素影响情况下对道路行驶质量进行打分,并采用模糊聚类和层次划分的方法对路面平整度进行划分,建立道路铺装类型、技术等级及使用年份与路面平整度之间的对应关系。进而按照道路的平整度分布情况对道路样本进行聚类划分,运用均匀分布随机抽样函数对各个聚类进行随机抽样,最终完成典型道路路段的选取。运用以上方法选取镇江地区的部分典型路段进行平顺性试验,试验数据分析结果表明德尔菲法获得的分值与真实的道路行驶质量指数有很好的一致性,验证了典型路段选取方法的可行性。
The Delphi method was used to score the driving quality of road under the influence of pavement condition, road technology grade and road use year respectively, and the method of fuzzy clustering and layering was used to divide the road surface roughness and establish the road Pavement type, grade and use of technology and the corresponding degree of pavement smoothness. Then the road samples are clustered according to the distribution of the road roughness. Random sampling function is used to randomly sample each cluster, finally the selection of typical road sections is completed. The above method is used to select some typical sections of Zhenjiang area for ride comfort test. The experimental data analysis results show that the score obtained by Delphi method is in good agreement with the real road driving quality index, and verifies the feasibility of the typical road section selection method .