车辆轨迹碎形理论用于宏观高速公路撞车率分析
Yuhan Nie1, Min Zhang2, Bo Wang3
1School of Transportation Engineering, Chang'an University, Xi'an, China; Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education, Xi'an, China.
Accident; analysis and prevention
|March 11, 2025
概括
车辆轨迹碎形维度 (FD) 有效地预测高速公路撞车率 (CR). 这种新方法显著改善了高风险路段的识别,增强了道路安全分析.
科学领域:
- 道路安全工程工程 道路安全工程
- 运输科学 运输科学
- 几何学和驾驶行为分析.
背景情况:
- 车辆轨迹数据提供了对道路几何形状影响的驾驶模式的见解.
- 了解轨迹特征与事故率之间的关系对于改善道路安全至关重要.
研究的目的:
- 为了探索车辆轨迹碎形维度 (FD) 和高速公路撞车率 (CR) 之间的相关性.
- 开发和验证基于碎形的方法来识别高风险的道路段.
主要方法:
- 提出了三种用于测量车辆轨迹碎形维度 (FD) 的新方法.
- 开发了先进的碎形参数估计技术.
- 与五个常见的替代品对FD的有效性进行了比较,用于识别高风险撞击部分.
主要成果:
- 路段之间的FD差异显著影响了事故发生率 (CR).
- 分数方法将错误报警率从52%-94%降低到46%,同时实现95%的回忆率.
- 飞行数据分析提高了轨迹特征的维度,并完善了道路安全的细节性.
结论:
- 与传统替代品相比,分形维度分析提供了一种优越的方法来识别高风险的道路段.
- 这种方法有效地整合了道路几何设计和驾驶行为动态.
- 该研究为优化道路几何形状和改善整体道路安全提供了宝贵的方法支持.
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