ABSTRACT

Pavement roughness is one of the essential parameters of pavement quality affecting ride quality, driving safety, and fuel consumption. The International Roughness Index has been widely deployed to evaluate pavement surface roughness. A vibration-based system is developed by using a low-cost three-axis Micro-Electro-Mechanical Systems accelerometer and a Global Positioning System sensor, which are connected to an Arduino board and embedded in a vehicle to monitor the road condition. The pavement profile is obtained by double integration of Z-axis acceleration data, and then the International Roughness Index is calculated via the Process Valves & Automation Systems Software using the obtained profile. The calculated International Roughness Index is correlated with ground truth data captured by a Road Surface Profiler with the coefficient of determination of 0.82 and an average error of 15%. The results demonstrate that the developed system can calculate the International Roughness Index with adequate accuracy at the network level. Besides, due to the low system cost and ease of use, it can be widely applied by road users to monitor pavement roughness as a crowdsourcing-based data collection system.

摘要

路面粗糙度是影响行驶质量、行车安全和油耗的路面质量的重要参数之一。国际粗糙度指数已被广泛用于评估路面表面粗糙度。使用低成本的三轴微机电系统加速度计和全球定位系统传感器开发基于振动的系统，这些传感器连接到 Arduino 板并嵌入车辆中以监测路况。通过对 Z 轴加速度数据的双重积分获得路面轮廓，然后使用获得的轮廓通过 Process Valves & Automation Systems Software 计算国际粗糙度指数。计算出的国际粗糙度指数与路面轮廓仪捕获的地面实况数据相关，确定系数为 0.82，平均误差为 15%。结果表明，所开发的系统可以在网络级别以足够的精度计算国际粗糙度指数。此外，由于系统成本低且易于使用，作为一种基于众包的数据收集系统，它可以被道路使用者广泛应用于路面粗糙度监测。