• DocumentCode
    1982185
  • Title

    To Taxi or Not to Taxi? - Enabling Personalised and Real-Time Transportation Decisions for Mobile Users

  • Author

    Wu, Wei ; Ng, Wee Siong ; Krishnaswamy, Shonali ; Sinha, Abhijat

  • Author_Institution
    Data Min. Dept., A*STAR, Singapore, Singapore
  • fYear
    2012
  • fDate
    23-26 July 2012
  • Firstpage
    320
  • Lastpage
    323
  • Abstract
    We demonstrate a system that monitors the taxi availability at taxi stands by mining real-time taxi trajectory data streams. The system includes a server-side trajectory data stream processing and mining program and a client-side mobile application for Android smart phones. The server program continuously monitors for each taxi stand the numbers of taxis queueing at the taxi stand, the numbers of taxis that will pass the taxi stand, as well as the traffic conditions in the area around the stand. It delivers real time taxi and traffic information to mobile users via Restful web services. The client-side location-based mobile application consumes these services to help mobile users make informed transportation choices. For example the availability of taxis might yet be a deterrent when traffic is congested. Real world taxi trajectory data from more than 14000 taxis are used in the demo.
  • Keywords
    Web services; data mining; decision making; mobile computing; operating systems (computers); traffic information systems; transportation; Android smartphones; RESTful Web services; client-side mobile application; mobile users; personalised transportation decisions; real-time taxi trajectory data stream mining; real-time transportation decisions; taxi availability; taxi queueing; taxi stands; traffic information; Availability; Data mining; Mobile communication; Monitoring; Real-time systems; Servers; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management (MDM), 2012 IEEE 13th International Conference on
  • Conference_Location
    Bengaluru, Karnataka
  • Print_ISBN
    978-1-4673-1796-2
  • Electronic_ISBN
    978-0-7695-4713-8
  • Type

    conf

  • DOI
    10.1109/MDM.2012.55
  • Filename
    6341410