基于隐性类加速危险模型的环路事故持续时间研究
Qiangru Shen1, Xun Xie2, Gen Li2
1School of Transportation and Civil Engineering, Nantong University, Nantong, Jiangsu, China.
PloS one
|August 12, 2024
概括
这项研究开发了一种潜在类加速危险模型,以了解高速公路事故持续时间. 特定车道关闭和驾驶员报告方法等关键因素显著影响事故的长度,有助于更好的交通管理.
科学领域:
- 运输工程 运输工程
- 交通管理系统 交通管理系统
- 统计建模 统计建模
背景情况:
- 准确的高速公路事故持续时间估计对于有效的应急响应和预防次要事故至关重要.
- 了解影响事故持续时间的因素是优化高速公路交通管理策略的关键.
研究的目的:
- 研究关键因素影响高速公路事故持续时间的机制.
- 开发和应用一个潜在类加速危险模型,结合异质性来分析事件持续时间.
- 确定重要变量及其对高速公路事故持续时间的影响,特别是在环路上.
主要方法:
- 开发了一个潜在类加速危险模型,并应用于高速公路事故数据.
- 对于优越的性能,选择了Log-logistic分布,而不是Weibull和Log-normal分布.
- 统计分析确定了11个影响事件持续时间的重要变量,涉及两个潜在类.
主要成果:
- 确定了两个不同的隐性类,概率为0.53 (类1) 和0.47 (类2).
- 发现特定的车道关闭和驾驶员报告方法是影响事故持续时间的重要因素.
- 该模型捕捉了潜在的异质性及其影响机制,大多数事件属于第1类 (持续时间为0-60分钟).
结论:
- 该研究提供了有关减少中国高速公路,特别是环路事故持续时间的见解.
- 这些发现为制定有效的高速公路事故管理和处理政策提供了理论支持.
- 该模型捕捉异质性和特定影响因素的能力增强了对事件动态的理解.
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