An Android Sensors-Based Portable Road Health Monitoring System Utilizing Measurement Uncertainty Analysis-Reference-Cited by-同舟云学术

An Android Sensors-Based Portable Road Health Monitoring System Utilizing Measurement Uncertainty Analysis

Published:2024-06-20 Issue:4 Volume:10 Page:
ISSN:2332-9017
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
language:en
Short-container-title:

Author:

Wang Yiping¹²,Geng Xixi³,Ma Pengfei⁴,Zhang Deren⁵,Shi Hongzheng⁵,Li Junyu⁶,Peng Weibing⁴,Zhang Yi⁵^ORCID

Affiliation:

1. Zhejiang Key Laboratory of Civil Engineering Structures & Disaster Prevention and Mitigation Technology, Zhejiang University of Technology , Zhejiang 310023, China ; , Beijing 100084

2. Department of Civil Engineering, Tsinghua University , Zhejiang 310023, China ; , Beijing 100084

3. Department of Mechanical Engineering, Tsinghua University , Beijing 100084, China

4. Zhejiang Key Laboratory of Civil Engineering Structures & Disaster Prevention and Mitigation Technology, Zhejiang University of Technology , Zhejiang 310023, China

5. Department of Civil Engineering, Tsinghua University , Beijing 100084, China

6. Weiyang College, Tsinghua University , Beijing 100084, China

Abstract

Abstract Road health monitoring systems aim to obtain the technical indexes of roads and then analyze the usage and the degree of damage of the roads, which can provide an important basis for road construction, maintenance, and management. Road roughness is one of the main technical indexes for road quality evaluation and road health monitoring. A system that contains data obtaining, processing, and result evaluation is developed, and it is implemented as an application to measure and analyze longitudinal road profiles simply and conveniently using the sensors in a mobile phone. The application uses the accelerometer sensor and the gravity sensor to obtain vertical acceleration by a projection method, then denoises through empirical mode decompositions and a Butterworth filter, which has a repeated measurement error of 11%. Different filters were compared and the repeatability, accuracy, robustness, and effectiveness of the system were analyzed. An index is used to evaluated longitudinal road profiles so that the results can be analyzed and viewed interactively in the application and a series of cases are given in this paper.

Publisher

ASME International

Link

https://asmedigitalcollection.asme.org/risk/article-pdf/10/4/044501/7355719/risk_010_04_044501.pdf

Reference45 articles.

1. Research Progress and Trend of Pavement Roughness Indices;J. Highw. Transp. Res. Dev.,2005

2. Feasibility Assessment of a Smartphone-Based Application to Estimate Road Roughness;KSCE J. Civ. Eng.,2018

3. Measurement of Pavement Roughness Using Android-Based Smartphone Application;Transp. Res. Rec.,2014

4. Exploring the Use of Smartphone Accelerometer and Gyroscope to Study on the Estimation of Road Surface Roughness Condition,2014

5. Formulation of a Simple Model to Estimate Road Surface Roughness Condition From Android Smartphone Sensors,2014