• DocumentCode
    1580226
  • Title

    Secured short time automated toll fee collection for private group transportation

  • Author

    Jayapriyaa, C.T. ; Jinila, Y. Bevish

  • Author_Institution
    Dept. of Inf. Technol., Sathyabama Univ., Chennai, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Automated toll fee collection in Indian road has been widely anticipated. This has been a challenge because of cost and efficiency of these systems. This paper presents automated toll fee collection system in more efficient, faster, low cost and in very secure manner. Normal cameras are used to capture vehicle number plates and vehicle numbers are retrieved. Using the retrieved vehicular id the details of the owner and linked bank accounts are collected from database. The toll fee is deduced from bank account if amount is available else manually paid. If more than one vehicle belonging to a particular organization is present nearby toll then these vehicles are clustered to reduce the number of transactions made. One vehicle is elected as a cluster head and this vehicle represents all the cluster members and an ID based multi signature scheme is used for authentication. Experimental evaluation and analysis shows that the cluster based scheme performs better compared to non cluster approaches.
  • Keywords
    cameras; digital signatures; pattern clustering; road pricing (tolls); vehicular ad hoc networks; ID based multi signature scheme; Indian road; automated toll fee collection system; cluster head; cluster members; linked bank accounts; normal cameras; private group transportation; retrieved vehicular id; vehicle number plates; Antennas; Authentication; Computers; Delays; IEEE 802.11 Standard; Throughput; Vehicles; Authentication; Cluster; Toll fee; Vehicle; WSN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7193130
  • Filename
    7193130