宏观的交通流量参数如何影响高速公路上的冲突所花费的时间? 使用基于危险的持续时间模型进行全面分析.
Ran Zhang1, Jing Cai1, Fengxiang Guo1
1Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, China.
Traffic injury prevention
|April 30, 2025
概括
这项研究使用先进的统计方法模拟了在冲突中花费的时间 (TSC),揭示了交通密度显著影响冲突持续时间,这对于高速公路安全评估至关重要.
科学领域:
- 交通工程是交通工程.
- 运输安全运输安全
- 统计建模 统计建模
背景情况:
- 在冲突中度过的时间 (TSC) 是高速公路安全的一个关键指标.
- 了解交通流和TSC之间的关系对于有效的安全分析至关重要.
- 现有的模型可能无法充分考虑TSC中的数据审查和异质性.
研究的目的:
- 开发一个强大的冲突时间 (TSC) 模型,解决数据审查和异质性.
- 调查宏观流量参数对TSC的影响.
- 为加强高速公路安全评估提供理论基础.
主要方法:
- 利用基于危险的持续时间模型,特别是卡普兰-梅尔 (K-M) 模型和随机效应加速失效时间 (REAFT) 模型.
- 用K-M模型分析TSC的时间和空间异质性.
- 使用REAFT模型 (特别是随机效应维布尔AFT模型) 来适应TSC分布并量化参数影响.
主要成果:
- 经过几个月的时间,TSC表现出时间异质性.
- 随机效应的韦布尔AFT模型提供了最适合TSC数据的模型.
- 发现交通密度对TSC有最显著的积极影响 (24.73%),而流量对负面影响最小 (-0.6%).
结论:
- 该研究成功模拟了TSC,考虑到审查和异质性.
- 宏观的交通流量参数,特别是密度,显著影响TSC.
- 这些发现支持开发先进的高速公路安全系统,以准确预测碰撞风险.
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