IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/928980.html
   My bibliography  Save this article

Measurement of International Roughness Index by Using -Axis Accelerometers and GPS

Author

Listed:
  • Yuchuan Du
  • Chenglong Liu
  • Difei Wu
  • Shengchuan Jiang

Abstract

The International Roughness Index (IRI) is a well-recognized standard in the field of pavement management. Many different types of devices can be used to measure the IRI, but these devices are mainly mounted on a full-size automobile and are complicated to operate. In addition, these devices are expensive. The development of methods for IRI measurement is a prerequisite for pavement management systems and other parts of the road management industry. Based on the quarter-car model and the vehicle vibration caused by road roughness, there is a strong correlation between the in-car -axis acceleration and the IRI. The variation of speed of the car during the measurement process has a large influence on IRI estimation. A measurement system equipped with -axis accelerometers and a GPS device was developed. Using the self-designing measurement system based on the methodology proposed in this study, we performed a small-scale field test. We used a one-wheel linear model and two-wheel model to fit the variation of the -axis acceleration. The test results demonstrated that the low-cost measurement system has good accuracy and could enhance the efficiency of IRI measurement.

Suggested Citation

  • Yuchuan Du & Chenglong Liu & Difei Wu & Shengchuan Jiang, 2014. "Measurement of International Roughness Index by Using -Axis Accelerometers and GPS," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, June.
  • Handle: RePEc:hin:jnlmpe:928980
    DOI: 10.1155/2014/928980
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/928980.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2014/928980.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/928980?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shong-Loong Chen & Chih-Hsien Lin & Chao-Wei Tang & Liang-Pin Chu & Chiu-Kuei Cheng, 2020. "Research on the International Roughness Index Threshold of Road Rehabilitation in Metropolitan Areas: A Case Study in Taipei City," Sustainability, MDPI, vol. 12(24), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:928980. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.