• DocumentCode
    2188070
  • Title

    Tracking anomalies in vehicle movements using mobile GIS

  • Author

    Saravanan, M. ; Aishwarya, S. ; Aravindan, L.N.

  • Author_Institution
    Ericsson Res. India, Ericsson India Global Services Pvt.Ltd., Chennai, India
  • fYear
    2013
  • fDate
    7-9 Oct. 2013
  • Firstpage
    845
  • Lastpage
    852
  • Abstract
    Detecting fraud activities and anomalies in vehicle movements are the two major concerns for the vehicle fleet industry. Some of these which incur heavy losses to the organization include fuel theft, loading and unloading related frauds, route variations, inefficient fuel maintenance and frequent breakdowns. The proposed system monitors certain vehicle parameters and provides solution to these issues with the help of sensors and related components. The anomalies and fraud activities detected using sensors present in the vehicle are continuously updated to the server with vehicle ID, location information and other relevant details. The system communicates with the server only on the occurrence of an activity which reduces the operating cost and corresponding alerts are also given to the monitoring agents. The proposed automatic mobile phone-based model uses a new android application to monitor and visualize the locations of various activities that avoids the need for 24×7 monitoring.
  • Keywords
    Linux; computerised monitoring; fraud; geographic information systems; mobile computing; mobile handsets; road vehicles; sensors; traffic information systems; android application; anomaly detection; automatic mobile phone-based model; fraud activity detection; fuel maintenance; fuel theft; loading related fraud; location information; location monitoring; location visualization; mobile GIS; monitoring agents; operating cost reduction; route variations; sensors; unloading related fraud; vehicle ID; vehicle fleet industry; vehicle movements; vehicle parameters; Fuels; Loading; Mobile communication; Monitoring; Servers; Temperature sensors; Vehicles; Android Application; Anomaly detection; Embedded System; GSM Network; SMS Gateway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2013
  • Conference_Location
    London
  • Type

    conf

  • Filename
    6661840