{"title":"Low-Cost Portable Road Smoothness Testing Method Based on Pseudo-Vibration Velocity Range","authors":"Hongwei Jiang, Xinlong Tong, Yanhong Zhang, Zhoujing Ye, Junqing Li, Yu Wang, Yinghao Miao","doi":"10.1155/2024/6314144","DOIUrl":null,"url":null,"abstract":"Road smoothness not only directly affects the safety and comfort of vehicle travel but also relates to the efficiency and cost-effectiveness of road maintenance. Traditional road smoothness detection methods usually require professional equipment and personnel, leading to high costs and cumbersome operations. Therefore, finding a low-cost, simple, and accurate method for detecting road smoothness is of great significance. This study uses vehicle-mounted acceleration sensors to detect road smoothness, establishing a correlation between driving vibration acceleration data and the international roughness index (IRI). For this research, a driving vibration acceleration data acquisition device was developed, and the driving acceleration data from the test sections were denoised and their feature values extracted. The pseudo-vibration velocity range was used as the characteristic index representing the road surface smoothness IRI value. Testing with different vehicle types showed that the method is applicable to both sedans and SUV models, yielding a relative error of 8.9% for the sedan smoothness test model and 6.7% for the SUV smoothness test model. This study contributes to conducting large-scale road smoothness detection at a low cost, improving the efficiency of road maintenance and operations.","PeriodicalId":7242,"journal":{"name":"Advances in Civil Engineering","volume":"43 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Civil Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1155/2024/6314144","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Road smoothness not only directly affects the safety and comfort of vehicle travel but also relates to the efficiency and cost-effectiveness of road maintenance. Traditional road smoothness detection methods usually require professional equipment and personnel, leading to high costs and cumbersome operations. Therefore, finding a low-cost, simple, and accurate method for detecting road smoothness is of great significance. This study uses vehicle-mounted acceleration sensors to detect road smoothness, establishing a correlation between driving vibration acceleration data and the international roughness index (IRI). For this research, a driving vibration acceleration data acquisition device was developed, and the driving acceleration data from the test sections were denoised and their feature values extracted. The pseudo-vibration velocity range was used as the characteristic index representing the road surface smoothness IRI value. Testing with different vehicle types showed that the method is applicable to both sedans and SUV models, yielding a relative error of 8.9% for the sedan smoothness test model and 6.7% for the SUV smoothness test model. This study contributes to conducting large-scale road smoothness detection at a low cost, improving the efficiency of road maintenance and operations.
道路平整度不仅直接影响车辆行驶的安全性和舒适性,还关系到道路维护的效率和成本效益。传统的道路平整度检测方法通常需要专业设备和人员,成本高、操作繁琐。因此,寻找一种低成本、简单、准确的道路平整度检测方法意义重大。本研究利用车载加速度传感器检测道路平整度,建立了驾驶振动加速度数据与国际粗糙度指数(IRI)之间的相关性。本研究开发了行车振动加速度数据采集设备,并对测试路段的行车加速度数据进行了去噪处理和特征值提取。伪振动速度范围被用作代表路面平整度 IRI 值的特征指标。不同车型的测试表明,该方法适用于轿车和 SUV 车型,轿车平顺性测试模型的相对误差为 8.9%,SUV 平顺性测试模型的相对误差为 6.7%。这项研究有助于以较低的成本进行大规模的道路平整度检测,提高道路维护和运营的效率。
期刊介绍:
Advances in Civil Engineering publishes papers in all areas of civil engineering. The journal welcomes submissions across a range of disciplines, and publishes both theoretical and practical studies. Contributions from academia and from industry are equally encouraged.
Subject areas include (but are by no means limited to):
-Structural mechanics and engineering-
Structural design and construction management-
Structural analysis and computational mechanics-
Construction technology and implementation-
Construction materials design and engineering-
Highway and transport engineering-
Bridge and tunnel engineering-
Municipal and urban engineering-
Coastal, harbour and offshore engineering--
Geotechnical and earthquake engineering
Engineering for water, waste, energy, and environmental applications-
Hydraulic engineering and fluid mechanics-
Surveying, monitoring, and control systems in construction-
Health and safety in a civil engineering setting.
Advances in Civil Engineering also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.