在机动车事故中检查驾驶员受伤严重程度:基于的方法,考虑到发展中国家背景下的时间异质性
Shahrior Pervaz1, Tanmoy Bhowmik2, Naveen Eluru3
1Department of Civil, Environmental and Construction Engineering, University of Central Florida, United States; Accident Research Institute, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Accident; analysis and prevention
|July 26, 2024
概括
这项研究使用copula方法模拟了孟加拉国的道路交通事故类型和驾驶员受伤严重程度. 调查结果揭示了影响道路安全和时间变化的关键因素,帮助决策者制定有针对性的安全战略.
科学领域:
- 道路交通安全问题 道路安全问题
- 运输工程 运输工程 运输工程
- 统计建模 统计建模
背景情况:
- 在发展中国家,道路交通伤害造成的负担很大.
- 了解影响碰撞类型和驾驶员受伤严重程度的因素对于有效干预至关重要.
研究的目的:
- 开发基于copula的联合建模框架来分析碰撞类型和驾驶员受伤严重程度.
- 在发展中国家的背景下确定道路安全的关键决定因素.
- 探索碰撞特征和严重程度的时间变化.
主要方法:
- 采用基于copula的多项逻辑模型来确定碰撞类型,以及针对驾驶员受伤程度的一般化有序逻辑模型.
- 采用了一种新的spline变量生成方法来评估时间参数变化.
- 纳入了一套全面的独立变量:驾驶员,车辆,道路,环境和时间因素.
主要成果:
- 确定了影响碰撞类型和严重性的重要因素,包括驾驶在影响之下,超速,车辆类型,道路特征和环境条件.
- 对于一个参数子集的证明时间不稳定性,表明安全动态的演变.
- 使用持久样本验证模型性能,并通过弹性练习说明变量影响.
结论:
- 开发的联合建模框架有效地捕捉了碰撞类型和驾驶员受伤严重程度之间的复杂关系.
- 调查结果为决策者提供了有价值的见解,以便在发展中国家实施数据驱动的道路安全战略.
- 强调需要在道路安全分析中考虑时间动态.
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