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评估替代安全措施的可预测性,作为基于车辆轨迹数据的撞车前的撞车前体现器
Yuxuan Wang1, Chengcheng Xu1, Pan Liu1
1Department of Transportation, Southeast University, Southeast University Road #2, Nanjing, 211189, China.
Accident; analysis and prevention
|April 13, 2024
概括
修改的碰撞时间 (MTTC) 最好预测实时碰撞风险. 代用安全措施 (SSM) 在主动安全管理中最有效,具有1秒的早期预警.
科学领域:
- 交通安全 交通安全
- 运输工程 运输工程
- 预测分析是一种预测分析.
背景情况:
- 实时撞车风险预测对于交通安全至关重要.
- 替代安全措施 (SSM) 越来越多地用于评估潜在的危险.
- 了解SSM的可预测性对于有效的安全干预至关重要.
研究的目的:
- 调查常用的SSM对实时崩风险的可预测性.
- 确定影响SSM可预测性的因素.
- 评估SSM在主动安全管理中的成本效益.
主要方法:
- 在中国南京的一条高速公路上,无人机收集了一年多的视频数据.
- 分析了20起后端机事故,以评估SSM的可预测性.
- 用于探索为SSM可预测性贡献因素的回归模型.
- 评估四个SSM:时间到碰撞 (TTC),修改时间到碰撞 (MTTC),DRAC和PICUD.
主要成果:
- 与其他SSM相比,MTTC表现出优越的可预测性,特别是具有1秒的预警能力.
- 在1秒的预警时,MTTC成功识别了85%的机,并做出了131个必要的预测.
- 预定义的值显著影响了所有测试的SSM的可预测性.
- 皮库德实现了100%的成功撞击识别,但需要更高数量的预测 (327,661).
结论:
- 在具有1秒早期预警的主动安全管理系统中,SSM的效率最高.
- 在早期预警能力和预测效率之间,MTTC提供了有利的平衡.
- 值设置是优化SSM性能以预测崩风险的关键因素.
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