Evaluation of Pavement Roughness Using an Android-Based Smartphone
Evaluation of Pavement Roughness Using an Android-Based Smartphone
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DOI：
10.1061/jpeodx.0000058
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发表时间：
2018-09-01
影响因子：
2.3
通讯作者：
Saha, Promothes
中科院分区：
文献类型：
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作者：
Aleadelat, Waleed;Ksaibati, Khaled;Saha, Promothes
现代智能手机配备了许多有用的传感器，如陀螺仪、磁强计、全球定位系统(GPS)接收器和三维(3D)加速计。在这项研究中，智能手机的3D加速度计被用来收集车辆的垂直加速度数据。通过使用各种信号处理和模式识别技术，如互相关、韦尔奇周期图和方差分析，测量的信号(时间序列加速度数据)被识别并与实际的国际粗糙度指数(IRI)值相关联。发现垂直加速度测量值之间的方差是对测量信号进行分类的关键特征。还进行了验证性分析，以衡量该方法的可靠性。初步的验证结果表明，使用这种方法，所使用的智能手机可以相当确定地预测实际的IRI值。这项研究是从怀俄明州地方道路路面管理系统(PMS)中提取的35个路段上进行的。此外，选定的线段具有反映任何PMS下的实际道路线段的各种长度和几何特征。这项技术的主要优点包括测量当地道路平整度的低成本解决方案。(C)2018年美国土木工程师学会。
Modern smartphones are equipped with many useful sensors, such as gyroscopes, magnetometers, global positioning system (GPS) receivers, and three-dimensional (3D) accelerometers. In this study, smartphones' 3D accelerometers were used for collecting a vehicle's vertical acceleration data. Through the use of various signal processing and pattern recognition techniques, such as cross correlations, Welch periodograms, and variance analyses, the measured signals (time series acceleration data) were identified and correlated with the actual international roughness index (IRI) values. It was found that the variance among the vertical acceleration measurements was the key feature for classifying the measured signals. A validation analysis was also conducted to measure the reliability of this methodology. The initial validation results suggested that, using this methodology, the smartphone used could predict with reasonable certainty the actual IRI values. The study was performed on 35 roadway segments extracted from the Wyoming local roads pavement management system (PMS). Also, the selected segments have various lengths and geometric features reflecting the actual roadway segments under any PMS. The major advantage of this technique includes the low-cost solution of measuring local roadway roughness. (C) 2018 American Society of Civil Engineers.