Feasibility Assessment of a Smartphone-Based Application to Estimate Road Roughness
Feasibility Assessment of a Smartphone-Based Application to Estimate Road Roughness
复制标题
基于智能手机的道路粗糙度估算应用程序的可行性评估
DOI：
10.1007/s12205-017-1008-9
复制
发表时间：
2018
影响因子：
2.2
通讯作者：
E. Parkany
中科院分区：
文献类型：
--
作者：
Huanghui Zeng;Hyungjun Park;Brian L. Smith;E. Parkany
交通机构花费大量资源使用轮廓仪货车收集路面粗糙度数据。以显著更低的成本和更高的时间分辨率水平收集功能等效数据的潜在替代方案是使用智能手机中的现有加速度计作为传感器的“集合”。在这项研究中，开发了一个原型智能手机应用程序，以调查这种方法的可行性。加速度数据是使用一个运行在Android平板电脑上的原型应用程序在弗吉尼亚州的两条路线上收集的。分析结果表明，所提出的智能手机应用程序可以生成一致的数据集，从不同的数据收集运行。此外，所收集的数据集的平均值被发现是高度相关的国际粗糙度指数数据收集的弗吉尼亚州交通部使用轮廓车。此外，样本量分析显示，大多数路面部分需要少于12个数据收集行程在50 Hz的采样率，而少于16个行程所需的速率为10 Hz。最后，弗吉尼亚州的初步效益评估表明，所提出的智能手机应用程序的方法允许收集可比的粗糙度数据，更多的道路，更频繁地与显着更低的成本。
Transportation agencies spend significant resources to collect pavement roughness data using profiler vans. A potential alternative to collect functionally equivalent data at a significantly lower cost and higher level of temporal resolution is to use existing accelerometers in smartphones as the “set” of sensors. In this research, a prototype smartphone application was developed to investigate the feasibility of such an approach. Acceleration data were collected using a prototype application running on Android tablets on two routes in Virginia. The analysis results show that the proposed smartphone application can generate consistent data sets from different data collecting runs. In addition, the average of the collected data sets is found to be highly correlated with the International Roughness Index data collected by the Virginia Department of Transportation using profiler vans. Also, a sample size analysis revealed that most pavement sections require fewer than 12 data collecting trips at a 50 Hz sampling rate while fewer than 16 trips are required for a rate of 10 Hz. Finally, a preliminary benefit assessment for Virginia showed that the proposed smartphone application approach allows for collection of comparable roughness data for more roadways, more frequently with significantly less cost.