从竞争-合作驾驶模式的角度来看:确定车辆合并行为模型和合并区的撞车风险因素
Nengchao Lyu1, Siqi Feng1, Hongliang Wan2
1Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063 Hubei, China.
Accident; analysis and prevention
|June 27, 2025
概括
本研究引入了高速公路上车辆合并行为模式 (自由,静态,竞争,合作) 的新分类. 竞争性合并带来了最高的风险,而自由合并是最安全的,为改善交通安全提供了信息.
科学领域:
- 交通工程是交通工程.
- 道路交通安全 道路交通安全
- 行为分析 行为分析
背景情况:
- 融合区是交通冲突和碰撞的关键区域.
- 现有的研究往往忽视了车辆相互作用和合并行为的详细风险因素分析.
- 了解微观融合行为对于提高高速公路安全至关重要.
研究的目的:
- 提出一种基于相互作用的新方法来分类基于交互的车辆合并行为模式.
- 分析各种合并模式中风险水平和影响因素的差异.
- 为改善合并区交通安全管理提供理论基础.
主要方法:
- 使用空中轨迹数据将合并行为分为自由 (FM),静态 (HM),竞争 (CmM) 和合作 (CoM) 模式.
- 引入了车道变更风险指数 (LCRI) 来评估集团合并风险.
- 用于LCRI分类的k-means集群和每个行为模式的顺序逻辑模型.
主要成果:
- 分类建模的性能优于全数据建模.
- 合并组风险受车辆运动状态,速度差异和间隙距离的影响.
- 确定了每个合并模式的独特风险水平和因素:FM (最低),CoM,HM,CmM (最高).
结论:
- 拟议的合并行为模式的分类提供了对合并区动态的细微理解.
- 不同的合并模式表现出明显不同的风险概况和促成因素.
- 结果为高速公路融合区的有针对性的交通安全干预提供了可操作的见解.
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