使用异质性和基于约束的离散选择模型对直接影响工作区崩的促成因素的影响评估
Tausif Islam Chowdhury1, Michael Starewich2, Swastika Barua1
1Ingram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX 78666, United States.
Accident; analysis and prevention
|March 10, 2026
概括
工作区入侵事故带来了重大风险. 这项研究揭示了环境因素,道路环境和驾驶员/车辆特征影响受伤严重程度,需要适应性安全策略.
科学领域:
- 运输安全运输安全
- 交通工程是交通工程.
- 事故分析 事故分析
背景情况:
- 工作区入侵事故,涉及进入活跃工作区的车辆,是具有严重潜在后果的关键安全问题.
- 了解影响受伤严重程度的动态对于制定有效的预防策略至关重要.
研究的目的:
- 分析德克萨斯州五年事故数据 (2020-2024年) 以确定影响工作区入侵事故中受伤严重程度的因素.
- 应用先进的统计模型,包括具有异质性的随机参数逻辑 (RPL) 和部分受约束的估计方法,以考虑未观察到的因素和时间变化.
主要方法:
- 德克萨斯州五年 (2020-2024) 事故数据的分析.
- 使用多项逻辑 (MNL) 和随机参数逻辑 (RPL) 模型.
- 纳入了一种部分受约束的估计方法来评估时间稳定性.
主要成果:
- 环境条件 (阴云/雨天,夜间) 和道路环境 (十字路口类型,位置,农村/城市) 显著影响时间差异的撞车严重性.
- 司机人口统计学 (男性,年轻司机) 和车辆类型 (皮卡,SUV) 与较高的受伤严重程度有关.
- 先进的模型揭示了被忽视的风险因素,并证明了未观察到的异质性和时间变化的重要性.
结论:
- 调查结果为工程,执法和教育提供了有针对性的,基于证据的策略,以减轻工作区入侵事故的严重程度.
- 强调先进,部分受约束的安全政策建模和不断监测不断变化的风险因素的价值.
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