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A Traffic Accident Causation Analysis Method Based on AHP-Apriori

机译:基于AHP-APRIORI的交通事故因果分析方法

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The multivariate, layered nature of traffic accident analysis (TAA) determines that any TAA method must be categorized according to causational factors and encompass all four basic traffic elements, i.e. driver, vehicle, road and environment. The Analytic Hierarchy Process (AHP) is used to sequence accident causation factors according to their relative importance, with the purpose of singling out the most influential ones. The Apriori algorithm is then applied to analyze the degree of an accident or the level of influence. Through applications, the method proves itself capable of determining the type and severity of accidents caused by multiple factors. The method also demonstrates improvement in the accuracy and efficiency of calculation in dealing with large data samples.
机译:交通事故分析(TAA)的多变量,分层性质决定了任何TAA方法必须根据造成因子进行分类,并包含所有四个基本的交通元素,即司机,车辆,道路和环境。分析层次过程(AHP)用于根据其相对重要性来排序事故因果区,目的是单挑最具影响力的。然后应用APRiori算法以分析事故或影响程度的程度。通过应用,该方法证明了能够确定由多个因素引起的事故的类型和严重程度。该方法还表明,在处理大数据样本时计算的准确性和效率的提高。

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