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空间时间动态变化机制分析基于轨迹数据的交通冲突风险
Yuping Hu1, Ye Li2, Helai Huang1
1School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, China.
Accident; analysis and prevention
|July 5, 2023
概括
了解交通风险动态对于安全至关重要. 本研究使用轨迹数据和空间马尔科夫模型来分析短期冲突风险,为实时道路安全评估提供中视图.
科学领域:
- 运输工程 运输工程
- 交通安全分析 交通安全分析
- 时间空间建模 时间空间建模
背景情况:
- 传统的交通安全研究通常使用事故数据,提供宏观视图.
- 这些方法可能会错过短期,小规模的风险动态.
- 通过轨迹数据分析的交通冲突风险,可以作为更敏感的替代安全措施.
研究的目的:
- 探索交通冲突风险的时空动态变化机制.
- 开发一个综合风险指标,综合冲突频率和严重程度.
- 提出一个新的框架,用于中视镜测量道路安全评估.
主要方法:
- 利用美国101号高速公路NGSIM数据集中的轨迹数据.
- 综合冲突频率和严重程度使用模糊逻辑理论作为风险指标.
- 采用了两步框架:空间马尔科夫模型和面板回归分析.
主要成果:
- 空间马尔科夫模型有效地描述了在不同空间滞后条件下安全状态的动态变化.
- 动态空间面板数据建模超越了仅考虑时间或空间依赖性的模型.
- 根据空间滞后,确定了安全状态的不同动态变化趋势.
结论:
- 拟议的框架为理解冲突风险提供了一种系统的,大视角的方法.
- 这种方法增强了对实时道路安全的全面评估.
- 将时空分析与替代安全措施相结合,为改善交通安全提供了有价值的见解.
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