在十字路口中心区域,研究和建模机动和非机动车辆之间的相互作用的碰撞风险
Zhangcun Yan1, Nicolas Saunier2, Lishengsa Yue1
1Department of Traffic Engineering, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai, China.
Traffic injury prevention
|February 3, 2025
概括
在十字路口中心的机动和非机动车辆之间的相互作用是复杂的,并影响安全. 影响碰撞严重性的关键因素包括转向方向,速度和接近冲突点的距离.
科学领域:
- 交通工程是交通工程.
- 运输安全运输安全
- 计算机视觉 计算机视觉
背景情况:
- 机动车辆 (MV) 和非机动车辆 (NMV) 经常在交叉中心 (ICAs) 相互作用.
- 交叉路口的高密度混合交通带来了重大的安全挑战.
- 了解这些相互作用对于改善交通安全至关重要.
研究的目的:
- 在ICAs中深入了解MV和NMV之间的相互作用动态.
- 识别导致交通冲突和潜在事故的因素.
- 为主动安全系统的发展提供信息.
主要方法:
- 分析了来自两个高交互交叉路口的高分辨率交通视频.
- 开发了一种新的轨迹提取框架 (Yolov7,Deepsort,SFPF),用于精确的车辆跟踪.
- 使用时间到碰撞 (TTC) 确定了183个相互作用事件,并使用有序逻辑模型进行分析.
主要成果:
- 车辆的转向方向,速度,转向行为,距离冲突点的距离,以及周围环境都会显著影响冲突的严重程度 (p < 0.05).
- 在信号阶段结束后10秒内进入ICA的车辆面临更高的严重碰撞事件风险.
- 潜在变量,如动态状态和车辆动作被确定为具有影响力的.
结论:
- 该研究提供了对交叉环境中MV和NMV之间的复杂相互作用的关键见解.
- 这些发现可以指导先进的驾驶辅助系统 (ADAS) 和主动安全控制的开发.
- 减少与混合交通相互作用相关的风险对于城市道路安全至关重要.
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