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通过车辆轨迹数据驱动的跨河桥连续交汇区的交通冲突分析
Jiaqi Wang1, Zhiyi Ye1, Yushun Lin1,2
1School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, China.
Traffic injury prevention
|August 14, 2024
概括
这项研究使用无人机数据和人工智能算法绘制了桥梁合并区的交通冲突. 调查结果揭示了关键的冲突区域和趋势,有助于针对性地改善公共交通安全.
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:
- 跨河桥上的连续融合区域是交通安全的关键区域.
- 了解交通冲突的空间分布对于预防事故和确保公共交通安全至关重要.
研究的目的:
- 对跨河桥梁连续合并区域的交通冲突空间分布进行深入研究.
- 通过识别和分析交通冲突模式,确保公共交通安全.
主要方法:
- 利用无人机空中摄影用于车辆移动数据收集.
- 采用YOLOv7对象检测和强大的SORT跟踪,用于高精度的轨迹提取.
- 开发的减速率 (DR) 后端和车道变化速度 (LCS) 车道变化冲突指标.
- 应用K-means集群来定义冲突严重程度值.
- 产生了交通冲突的空间分布热图.
主要成果:
- 对于轻微,中度和严重的后端冲突 (3.06,5.36,8.04 m/s2) 已建立值.
- 对于轻微,中度和严重的变车道冲突 (1.13,2.07,3.45 m/s) 的定义值.
- 确定了交通冲突的独特空间分布模式:增加,然后减少,然后再次增加.
结论:
- 在跨河桥梁的连续合并区域内确定了交通冲突的关键区域.
- 为这些路段提供了一种新的数据采集方法和定量安全风险评估方法.
- 建立了制定有针对性的交通安全管理策略的理论基础.
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