• DocumentCode
    606103
  • Title

    Intelligent transport system using cloud platform

  • Author

    Ramesh, Ramaswamy ; Durbar, Y.S. ; Jayanth, J.

  • Author_Institution
    Sri Sairam Eng. Coll., Anna Univ., Chennai, India
  • fYear
    2013
  • fDate
    20-21 March 2013
  • Firstpage
    1071
  • Lastpage
    1075
  • Abstract
    Public transport especially buses are getting crowded day-by-day due to heavy demand of transport facility. More over the frequency of the buses are unregulated. Either the buses lines up at one time or buses get delayed for a long time. This kind of chaos is mainly due to irregular Planning of bus intervals and not knowing the details of the amount of passengers expected at a time. Hence we are proposing a system in which the number of passengers in a bus stop can be calculated and the bus service can be regulated depending on the passenger´s arrival. Cloud is the best platform to implement this system as the storage is dynamic in cloud and interface can be easily provided to people using Iaas and Saas. In this paper we mainly concentrate on the scheme of the proposed system and resource allocation in cloud using Gossip protoco. Tropo is an software in cloud used for voice recognition and updating in database. The concept of volunteer computing is also used for resource allocation.
  • Keywords
    automated highways; cloud computing; resource allocation; speech recognition; Iaas; Saas; buses; cloud platform; gossip protoco.tropo; intelligent transport system; irregular bus interval planning; passenger arrival; public transport; resource allocation; transport facility; voice recognition; volunteer computing; Chaotic communication; Resource management; GPS system; Gossip protocol; Infrastructure as a service; Resource allocation; Tropo; Volunteer Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-4921-5
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2013.6528859
  • Filename
    6528859