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Discovery of Factors in Road InfrastructuresAffecting Accidents by Data Mining Method

机译:数据挖掘方法发现道路基础设施事故影响因素

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Recently very ambitious goals to reduce traffic accidents have be arranged by regulating Japanese andEuropean Union governments. To achieve such goals, it is important to extract critical factors causingaccidents from compounded factors. However, it is difficult to decompose such factors into individualorthogonal elements. Therefore, in order to deal with such compounded factors, we look forapplication of data mining method. To apply data mining method to amounts of data, we mustunderstand the feature of data. We partly analyzed the data using data mining method, and not onlyunderstood the feature but also discovered trends of data leading to extraction of accident factors. Inthis paper, we report this process and discuss future prospects.
机译:最近,通过规范日本和欧盟政府,已经制定了减少交通事故的雄心勃勃的目标。为了实现这些目标,从复合因素中提取导致事故的关键因素非常重要。但是,很难将这些因素分解为单个正交元素。因此,为了应对这些复合因素,我们寻求数据挖掘方法的应用。要将数据挖掘方法应用于数据量,我们必须了解数据的特征。我们使用数据挖掘方法对数据进行了部分分析,不仅了解了特征,还发现了导致事故因素提取的数据趋势。在本文中,我们报告了这一过程并讨论了未来的前景。

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