在不同照明条件下的农村双车道高速公路上识别路径偏离事故模式:使用数据挖掘方法的协会知识
Ahmed Hossain1, Xiaoduan Sun1, Shahrin Islam2
1Department of Civil Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA.
Journal of safety research
|June 18, 2023
概括
路径偏离 (RwD) 碰撞因照明条件而有很大差异. 了解这些模式,就像酒精在黑暗中的参与,是制定有效的安全策略的关键.
科学领域:
- 交通安全研究 交通安全研究
- 运输工程 运输工程
- 数据挖掘应用程序 数据挖掘应用程序
背景情况:
- 道路出行 (RwD) 事故是美国高速公路死亡的主要原因.
- 之前的研究还没有充分解决照明条件对RwD碰撞风险因素的影响.
研究的目的:
- 综合调查照明条件对路径偏离 (RwD) 事故的影响.
- 在不同的光线下识别多维碰撞风险因素之间的复杂相互作用.
主要方法:
- 使用安全系统方法和协会规则挖掘 (ARM),一个无监督的数据挖掘算法.
- 利用路易斯安那州交通局事故数据,分析了2008-2017年在农村双车道高速公路上的致命和受伤的RwD撞车事故.
- 根据照明条件对事故进行分类:白天,有路灯的黑暗,没有路灯的黑暗.
主要成果:
- 根据照明条件,确定了基于RwD事件的明显碰撞模式.
- 白天RwD碰撞与阴天,司机分心,湿路和建筑区有关.
- 黑暗的RwD碰撞 (有/没有路灯) 与酒精/毒品使用,年轻司机,司机疲劳和动物碰撞有关.
结论:
- 这些发现突出了分析RwD撞击模式在不同照明条件下单独分析的关键重要性.
- 特定的驾驶员行为,如酒精损害和在黑暗中不使用安全带,显示与RwD碰撞有很强的关联.
- 结果为安全专家和研究人员提供了针对RwD碰撞减轻策略的见解.
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