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Study of system layouts for road wetness quantification via tire spray

机译:通过轮胎喷涂的道路湿度量化系统布局研究

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摘要

Wet roads lower the tire traction and, hence, increase the risk of accidents. The exact friction coefficient between tire and roaddepends on a variety of influences, one of them being the road wetness or water height. To support drivers and autonomoussystems in safe guidance of the vehicle, information about road wetness is helpful. In this paper, we discuss different systemlayouts of how to estimate the current road wetness, focusing on acceleration sensors in the front wheel arches or on theside skirts that measure tire spray. In addition, we analyze a new method that uses sensors at the underbody of the vehicle.We provide information on tire spray behavior, sensor types, and positioning. Our results show that underbody sensors aresuited to detect especially high levels of road wetness that are associated with the risk of hydroplaning. In the conclusions,we combine the knowledge of new and known findings to provide a recommendation for the optimal system layout for roadwetness quantification via tire spray.
机译:湿道路降低了轮胎牵引力,因此增加了事故的风险。轮胎和道路之间的确切摩擦系数取决于各种影响,其中一个是道路湿润或水高。支持司机和自主系统安全指导的车辆,有关道路湿度的信息很有帮助。在本文中,我们讨论了不同的系统如何估算当前道路湿度的布局,专注于前轮拱门的加速度传感器或测量轮胎喷雾的侧裙。此外,我们分析了一种在车辆底层使用传感器的新方法。我们提供有关轮胎喷雾行为,传感器类型和定位的信息。我们的结果表明,底部的传感器是适合检测特别高的道路湿润,与水渗透的风险有关。在结论中,我们结合了新的和已知结果的知识,为道路的最佳系统布局提供建议通过轮胎喷雾润湿量化。

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