使用APIU识别容易发生事故的部分:关于中国公路安全分析的案例研究
Yonghong Yang1,2, Yu Zhang1,2, Zhao Yang1
1School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China.
Traffic injury prevention
|December 9, 2024
概括
事故点间隔单元 (APIU) 方法准确识别容易发生事故的道路段. 这项分析显示,道路对齐显著影响事故风险,使得有针对性的安全改进成为可能.
科学领域:
- 道路安全工程工程 道路安全工程
- 交通事故分析分析
- 高速公路的设计.
背景情况:
- 道路交通事故带来了重大的安全挑战.
- 确定事故聚集区对于有效的交通管理和高速公路设计至关重要.
研究的目的:
- 引入事故点间隔单位 (APIU) 方法,用于自动识别事故聚合区域.
- 为改善高速公路设计和交通管理策略提供基础.
主要方法:
- 使用APIU方法分析历史事故数据,以精确确定易发生事故的细分.
- 应用反向传播 (BP) 神经网络来评估道路对齐对事故发生的影响.
- 开发一个风险指数模型,整合调整影响和评估水平.
主要成果:
- APIU方法在确定易发生事故的路段方面表现出稳定性和一致性,同时考虑了相邻的道路影响.
- 英国石油公司的神经网络成功量化了道路对齐对事故频率的影响.
- 在事故点200-300米上游确定了一个显著的风险区域,验证了APIU方法.
结论:
- 使用APIU方法,可以准确识别容易发生事故的段落.
- 事故发生点前的风险指数上升表明几何对齐有很大的影响.
- 根据这些发现,公路当局可以实施有针对性的安全措施,并加强关键区域的标志.
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