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The role of human factor in incidence and severity of road crashes based on the CART and LR regression: a data mining approach

机译:基于CART和LR回归的人为因素在道路交通事故发生率和严重性中的作用:一种数据挖掘方法

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Accidents are one of the biggest public health problems in the world. As literature indicated, the traffic accidents were assessed to be most significant health problem in Iran. To date, no serious researches have analyzed high dimensional traffic data In Iran. This paper, therefore, aims to bridge the gap. In this study, the traffic data are analyzed by Data Mining techniques such as Logistic Regression, Classification and Regression Trees. In this paper the impact of such factors were investigated using these techniques. It is hoped that the current research findings will help governments in better road designs and traffic management.
机译:事故是世界上最大的公共卫生问题之一。如文献所示,交通事故被评估为伊朗最重要的健康问题。迄今为止,还没有认真的研究来分析伊朗的高维交通数据。因此,本文旨在弥合差距。在这项研究中,通过数据挖掘技术(例如逻辑回归,分类和回归树)分析交通数据。在本文中,使用这些技术研究了这些因素的影响。希望当前的研究结果将有助于政府改善道路设计和交通管理。

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