使用基于危险的持续时间模型识别导致行人严重碰撞的因素和位置
Anahita Kakhani1, Mohammad Jalayer2, Emmanuel Kidando3
1Department of Civil and Environmental Engineering, Rowan University, Glassboro, NJ 08028, United States.
Accident; analysis and prevention
|February 11, 2024
概括
50%的致命行人撞车事故发生在离家0.84英里之内. 行人安全分析必须考虑行程距离以及照明和年龄等因素,以减少严重碰撞.
科学领域:
- 交通安全 交通安全 交通安全
- 城市规划 城市规划
- 公共卫生 公共卫生
背景情况:
- 由于严重事故的增加,行人安全是公众的主要关注点.
- 现有的研究往往忽略了影响行人撞车的空间变量.
- 了解行人运动模式对于加强安全分析至关重要.
研究的目的:
- 为了研究严重碰撞前行人行驶距离的空间变量.
- 在碰撞场景中识别影响行人行程的因素.
- 为有针对性的行人安全干预提供数据驱动的见解.
主要方法:
- 从俄俄州分析涉及行人撞车数据作为一个案例研究.
- 开发一个模型来评估影响行人行程距离的因素.
- 包括诸如天气,照明和行人人口统计等变量.
主要成果:
- 50%的致命行人撞车事故发生在距离行人住所0.84英里之内.
- 照明条件,行人年龄,药物中毒和撞击地点的位置显著影响了行程距离.
- 确定了导致严重行人撞车的关键空间和人口因素.
结论:
- 行人行程距离是碰撞分析中的一个关键空间变量.
- 诸如照明,年龄和中毒等因素会影响撞车发生的近距离.
- 研究结果支持针对性干预措施,以提高行人安全,降低碰撞严重程度.
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