多因素合摩擦系数地图空间时空建模和雨天道路驾驶风险融合
Lintao Yang1, Xing Cui2, Huizhao Tu3
1Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation, Tongji University, Jiading District, Shanghai 201804, China; School of Civil and Environmental Engineering, Nanyang Technological University, 639798, Singapore.
Accident; analysis and prevention
|November 16, 2025
概括
在雨中降低轮胎道路摩擦系数 (TRFC) 会导致事故. 本研究整合了道路,车辆和环境因素,用于车道级TRFC地图和湿路上多重风险评估.
科学领域:
- 道路安全工程 道路安全工程
- 运输科学 运输科学
- 计算流体动力学的流体动力学.
背景情况:
- 在雨天下降的轮胎-路面摩擦系数 (TRFC) 是交通事故的重要因素.
- 现有的TRFC估计方法无法完全整合时空因素,限制了准确的驾驶风险评估.
- 准确的车道级TRFC测绘对于理解和减轻湿路危险至关重要.
研究的目的:
- 开发一个框架,用于道路,车辆和环境因素的时空合,用于车道级TRFC估计.
- 建立融合方法来评估雨天道路上多重驾驶风险.
- 为了提高在潮湿条件下驾驶风险评估的准确性.
主要方法:
- 一个轮胎-液体-道路模拟模型生成了一个TRFC数据集用于训练代用预测模型.
- 车道被网格化,并将对齐的因素输入到替代模型中,以创建摩擦系数地图.
- 通过使用最大风险和加权总和策略分析和融合了三种风险 (高空飞行,后方碰撞,侧滑).
主要成果:
- 发现大雨和高速降雨降低了TRFC并增加了其变性,增加了水上飞行和侧滑风险.
- 减少TRFC增加了安全的后续距离和由于车辆趋同而导致的后方碰撞风险.
- 风险融合分析表明,最大风险融合对于主导风险是有效的,而加权总和融合适合多个高风险场景.
结论:
- 拟议的框架提供了雨天道路的车道级驾驶风险评估.
- 该研究为制定针对湿路状况的有针对性的安全措施提供了有价值的见解.
- 整合时空因素显著提高了潮湿天气驾驶风险评估的准确性.
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