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验证一种用于城市道路网络的低成本路面监测惯性系统。

Validation of a Low-Cost Pavement Monitoring Inertial-Based System for Urban Road Networks.

机构信息

Department of Civil, Constructional and Environmental Engineering, Sapienza University, Via Eudossiana, 18-00184 Rome, Italy.

Department of Transportation Engineering, Polytechnic School of the University of São Paulo, Avenida Professor Almeida Prado, Travessa 2, 83-05508010 São Paulo, Brazil.

出版信息

Sensors (Basel). 2021 Apr 30;21(9):3127. doi: 10.3390/s21093127.

DOI:10.3390/s21093127
PMID:33946324
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8125624/
Abstract

Road networks are monitored to evaluate their decay level and the performances regarding ride comfort, vehicle rolling noise, fuel consumption, etc. In this study, a novel inertial sensor-based system is proposed using a low-cost inertial measurement unit (IMU) and a global positioning system (GPS) module, which are connected to a Raspberry Pi Zero W board and embedded inside a vehicle to indirectly monitor the road condition. To assess the level of pavement decay, the comfort index defined by the ISO 2631 standard was used. Considering 21 km of roads with different levels of pavement decay, validation measurements were performed using the novel sensor, a high performance inertial based navigation sensor, and a road surface profiler. Therefore, comparisons between determined with accelerations measured on the two different inertial sensors are made; in addition, also correlations between , and typical pavement indicators such as international roughness index, and ride number were also performed. The results showed very good correlations between the values calculated with the two inertial devices (R = 0.98). In addition, the correlations between values and the typical pavement indices showed promising results (R = 0.83-0.90). The proposed sensor may be assumed as a reliable and easy-to-install method to assess the pavement conditions in urban road networks, since the use of traditional systems is difficult and/or expensive.

摘要

道路网络被监测以评估其衰减水平和行驶舒适性、车辆滚动噪声、燃料消耗等方面的性能。在这项研究中，提出了一种使用低成本惯性测量单元 (IMU) 和全球定位系统 (GPS) 模块的新型惯性传感器系统，该系统连接到 Raspberry Pi Zero W 板并嵌入车辆内部，以间接监测道路状况。为了评估路面衰减程度，使用 ISO 2631 标准定义的舒适指数 。考虑到 21 公里不同路面衰减程度的道路，使用新型传感器、高性能惯性导航传感器和路面剖面仪进行了验证测量。因此，对在两个不同的惯性传感器上测量的加速度确定的 进行了比较；此外，还对 与国际粗糙度指数和行驶数等典型路面指标之间进行了相关性分析。结果表明，两个惯性设备计算的 值之间具有很好的相关性（R = 0.98）。此外， 值与典型路面指数之间的相关性也显示出了有希望的结果（R = 0.83-0.90）。由于传统系统难以使用和/或昂贵，因此可以假设所提出的传感器是评估城市道路网络中路面状况的可靠且易于安装的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4edc/8125624/124f9f7a4935/sensors-21-03127-g015a.jpg
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