• DocumentCode
    149750
  • Title

    Formulation of a simple model to estimate road surface roughness condition from Android smartphone sensors

  • Author

    Douangphachanh, Viengnam ; Oneyama, Hiroyuki

  • Author_Institution
    Dept. of Civil & Environ. Eng., Tokyo Metropolitan Univ., Tokyo, Japan
  • fYear
    2014
  • fDate
    21-24 April 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    It is increasingly common to find many useful sensors on today´s smartphones. Beside the use in the smartphones´ user interface and features, many researchers and developers have also adopted the sensors for use in numerous applications in several fields and purposes. In this study, a simple model has been formulated to estimate road surface roughness condition from Android smartphone sensor data. The goal is to explore the use of smartphones, as a low cost and easy to implement approach, in the field of road maintenance management and continuous monitoring. The formulation of the model is based on an experiment and frequency domain analysis, in which it has been found that the sensor data, such as 3 axis acceleration and speed, has a linear relationship with road surface roughness condition. In our preliminary simulations on example road network with various settings, we have found that the performance and results of the model are very encouraging.
  • Keywords
    Android (operating system); computerised monitoring; frequency-domain analysis; maintenance engineering; mobile computing; sensors; smart phones; surface roughness; surface topography measurement; user interfaces; Android smartphone sensor data; frequency domain analysis; road maintenance management; road roughness condition estimation; smartphone user interface; Acceleration; Data models; Global Positioning System; Roads; Rough surfaces; Surface roughness; Vehicles; estimation model; road maintenance; road surface; roughness condition; simulation; smartphone sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4799-2842-2
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2014.6827694
  • Filename
    6827694