兼顾主客观因素的高速公路交通安全综合评价模型

发布时间：2018-10-11 08:15

【摘要】：为了准确评价高速公路交通安全水平,通过分析高速公路事故特点及高速公路交通安全影响因素,建立适用于高速公路交通安全的评价指标体系,分别构建基于层次熵和基于向量相似度的综合评价模型。其中,层次熵评价模型采用层次分析法(AHP)和熵权法确定评价指标的主客观权重,组合后和指标数据加权进而得到评价结果;向量相似度评价模型通过向量相似度对高速公路交通安全状况统计数据进行综合分析。用以上2种模型评价江苏省高速公路的交通安全水平。结果表明:2种模型计算得到的江苏省高速公路交通安全等级都趋于较安全,评价结果具有一致性,且与实际情况相符。层次熵模型侧重于指标数据的客观性,而向量相似度模型更侧重于人的主观性。
[Abstract]:In order to evaluate the level of expressway traffic safety accurately, through analyzing the characteristics of expressway accidents and the influencing factors of expressway traffic safety, the evaluation index system suitable for expressway traffic safety is established. A comprehensive evaluation model based on hierarchical entropy and vector similarity is constructed respectively. The analytic hierarchy process (AHP) and entropy weight method are used to determine the subjective and objective weight of the evaluation index, and then the evaluation results are obtained by the combination of the index data and the weight of the index data. Vector similarity evaluation model synthetically analyzes the traffic safety statistics of freeway by vector similarity. The above two models are used to evaluate the traffic safety level of expressway in Jiangsu Province. The results show that the traffic safety grades calculated by the two models tend to be more safe, and the evaluation results are consistent and consistent with the actual situation. The hierarchical entropy model focuses on the objectivity of index data, while the vector similarity model focuses on human subjectivity.
【作者单位】：南京理工大学自动化学院;
【基金】：国家自然科学基金资助(51178157) 国家统计科研计划项目(2012LY150) 中央高校基本科研业务费专项资金项目(30916011338)
【分类号】：U492.8

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