• DocumentCode
    1822979
  • Title

    A vibratory-based method for road damage classification

  • Author

    Gunawan, Fergyanto E. ; Yanfi ; Soewito, Benfano

  • Author_Institution
    Binus Grad. Programs, Bina Nusantara Univ., Jakarta, Indonesia
  • fYear
    2015
  • fDate
    20-21 May 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Automatic system to monitor the road condition is importance to minimize losses due to traffic accidents. The system is required considering the size of the road network in many modern metropolitan cities. Various monitoring techniques have been proposed and in this work, we evaluate the use of vehicle acceleration data in the longitudinal and lateral directions to detect the road anomalies particularly pothole. This article reports the characteristics of the data obtained from various road anomalies and identifies the statistical variance of the data with regard to the road anomalies.
  • Keywords
    civil engineering computing; condition monitoring; pattern classification; road accidents; smart phones; statistical analysis; vibrations; automatic road condition monitoring system; metropolitan cities; pothole; road anomalies; road damage classification; road network; statistical variance; traffic accidents; vehicle acceleration data; vibratory-based method; Accidents; Lead; Monitoring; Roads; Seminars; Tin; Accelerometer; Pothole; Road Surface Monitoring; Smartphone; geo-location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Technology and Its Applications (ISITIA), 2015 International Seminar on
  • Conference_Location
    Surabaya
  • Print_ISBN
    978-1-4799-7710-9
  • Type

    conf

  • DOI
    10.1109/ISITIA.2015.7219943
  • Filename
    7219943