• DocumentCode
    688417
  • Title

    CRSM: Crowdsourcing Based Road Surface Monitoring

  • Author

    Kongyang Chen ; Mingming Lu ; Guang Tan ; Jie Wu

  • Author_Institution
    SIAT, Shenzhen, China
  • fYear
    2013
  • fDate
    13-15 Nov. 2013
  • Firstpage
    2151
  • Lastpage
    2158
  • Abstract
    Detecting road potholes and road roughness levels is key to road condition monitoring, which impacts transport safety and driving comfort. We propose a crowd sourcing based road surface monitoring system, simply called CRSM. CRSM can effectively detect road potholes and evaluate road roughness levels using our hardware modules mounted on distributed vehicles. These modules use low-end accelerometers and GPS devices to obtain vibration pattern, location, and vehicle velocity. Considering the high cost of onboard storage and wireless transmission, a novel light-weight data mining algorithm is proposed to detect road surface events and transmit potential pothole information to a central server. The server gathers reports from the multiple vehicles, and makes a comprehensive evaluation on road surface quality. We have implemented a product-quality system and deployed it on 100 taxies in the Shenzhen urban area. The results show that CRSM can detect road potholes with up to 90% accuracy, and nearly zero false alarms. CRSM can also evaluate road roughness levels correctly, even with some interferences from small bumps or potholes.
  • Keywords
    condition monitoring; data mining; object detection; road safety; road traffic; road vehicles; traffic engineering computing; vibrations; CRSM; GPS devices; Shenzhen urban area; central server; crowdsourcing based road surface monitoring system; distributed vehicles; driving comfort; hardware modules; light-weight data mining algorithm; low-end accelerometers; onboard storage; product-quality system; road condition monitoring; road potholes detection; road roughness levels; road surface events detection; road surface quality; taxies; transport safety; vehicle velocity; vibration location; vibration pattern; wireless transmission; Acceleration; Event detection; Roads; Rough surfaces; Surface roughness; Vehicles; Vibrations; Gaussian Mixture Model; Pothole detection; Road surface monitoring; Road surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
  • Conference_Location
    Zhangjiajie
  • Type

    conf

  • DOI
    10.1109/HPCC.and.EUC.2013.308
  • Filename
    6832191