• DocumentCode
    2145626
  • Title

    Mobile Ticketing System for Automatic Fare Collection Model for Public Transport

  • Author

    Chandra, D.G. ; Prakash, R. ; Lamdharia, S.

  • Author_Institution
    DGE&T, MoLE, New Delhi, India
  • fYear
    2013
  • fDate
    27-29 Sept. 2013
  • Firstpage
    600
  • Lastpage
    603
  • Abstract
    The ticketing system of public transport system is mainly manual and in some areas semi-automatic which is tedious, stressful and involves a lot of time, effort & manpower. Besides, this is highly inadequate to handle the humongous commuter volume. The traveler has to spend lots of time in queue for buying tickets, tokens and smart cards as well as recharging the smart card specifically during picks hours. To get rid of this hurdle we are proposing a Mobile ticketing model for public transport system. In this paper we are using the Cell phone (Mobile) of a commuter. The Mobile Ticketing model comprises of a registered mobile subscription either Prepaid or postpaid for the traveler´s identity by scanning mobile phone number at the entrance/exit of the vehicle or stations and deducting the fare from the Mobile number immediately in case of prepaid connection and sending the information to the service provider of the Mobile connection in case of post paid mobile connection.
  • Keywords
    mobile computing; mobile radio; smart cards; transportation; automatic fare collection model; cell phone; humongous commuter volume; mobile phone; mobile ticketing model; mobile ticketing system; post paid mobile connection; public transport system; smart cards; ticket buying; tokens; Cloud computing; Mobile communication; Mobile computing; Mobile handsets; Servers; Smart cards; Subscriptions; Cloud Computing; International Mobile Subscriber Identity (IMSI); Mobile Computing; Public Transport System; Radio Frequency; Ticketing System; Value Added Service (VAS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference on
  • Conference_Location
    Mathura
  • Type

    conf

  • DOI
    10.1109/CICN.2013.131
  • Filename
    6658067