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Analyzing Factors that Influence Expressway Traffic Crashes Based on Association Rules: Using the Shaoyang-Xinhuang Section of the Shanghai-Kunming Expressway as an Example

机译:分析基于关联规则的高速公路交通崩溃的分析因素:使用上海 - 昆明高速公路的邵阳 - 新煌段为例

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摘要

Analyzing the influencing factors in expressway traffic crashes is an important aspect of traffic safety analysis. This study examines detailed data from 217 crashes that took place from 2015 to 2016 on the Shaoyang-Xinhuang section of the Shanghai-Kunming Expressway. The data were recorded by the Expressway Administration of Hunan Province, China, which is the only officially available and reliable source of traffic accident data. Descriptive statistics for crash characteristics, vehicle conditions, and road environmental condition data are provided. This paper studies the characteristics of expressway traffic accidents and their influencing factors via the association rule data mining method. The 21 rules obtained from the association rules were analyzed, the accident characteristics of various types of vehicles were studied, and the causes of injury/fatal accidents in various situations were identified. The results of this study will contribute to the targeted enforcement of traffic regulations and the improvement of road facilities to reduce traffic casualties and promote road safety in other areas.
机译:分析高速公路交通崩溃的影响因素是交通安全分析的一个重要方面。本研究审查了从2015年到2016年在上海 - 昆明高速公路的邵阳 - 新庄段发生的217次撞车事故的详细数据。该数据由中国湖南省高速公路管理录得,这是交通事故数据唯一正式可靠和可靠的资源。提供了碰撞特性,车辆条件和道路环境条件数据的描述性统计数据。本文通过关联规则数据挖掘方法研究高速公路交通事故及其影响因素的特点。分析了从关联规则获得的21项规则,研究了各种类型车辆的事故特征,确定了各种情况下的伤害/致命事故的原因。该研究的结果将有助于有针对性的交通规则的执行和改进道路设施,以减少交通伤亡,促进其他地区的道路安全。

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