Skid Resistance Research Data

Road sections within the boundaries of Amman, Jordan.
Measurements of BPN and surface roughness.
Historical Records of Traffic crashes .
This research focuses on sites that are characterized as roadways with severe crash experience. They are mostly road sections with low skid resistance levels and pavement roughness. The skid resistance is measured in BPN and the pavement roughness in mm using a sand patch method. The crash statistics on these sections are obtained from the local traffic agencies including fatal and personal injury crashes. Crash severity index were calculated n terms of property damage only crashes per million vehicle- kilometers of travel.
A prediction equation is derived using regression analysis to predict crash severity rates as a function of pavement roughness and skid resistance. Road maintenance agencies can predict severe crash experiences through periodic measurements of skid resistance and pavement roughness. The scheduling of corrective maintenance can be accomplished without running the risk of endangering the driving public. The
prediction model can also be used to establish threshold values of BPN and surface roughness hat can be adopted by maintenance agencies to signal the need for immediate intervention.

约旦安曼市范围内的道路路段。
摆值（BPN）和路面粗糙度的测量数据。
交通事故历史记录。

本研究聚焦于具有严重事故发生史的道路路段，这些路段大多具有低抗滑阻力和路面粗糙的特征。抗滑阻力以摆值（BPN）为单位测量，路面粗糙度则采用砂铺法以毫米为单位测量。这些路段的事故统计数据来自当地交通机构，包括致命事故和人身伤害事故。事故严重程度指数通过每百万车公里行驶里程中仅造成财产损失的事故数量计算得出。

通过回归分析推导得到预测方程，可将事故严重率作为路面粗糙度和抗滑阻力的函数进行预测。道路养护机构可通过定期测量抗滑阻力和路面粗糙度来预测严重事故的发生情况。养护维修调度可在不危及驾驶公众安全的前提下完成。该预测模型还可用于确定摆值（BPN）和路面粗糙度的阈值，供养护机构采用以发出即时干预的信号。