• DocumentCode
    1624288
  • Title

    Drive Smartly as a Taxi Driver

  • Author

    Zheng, Yu ; Yuan, Jing ; Xie, Wenlei ; Xie, Xing ; Sun, Guangzhong

  • Author_Institution
    Microsoft Res. Aisa, Beijing, China
  • fYear
    2010
  • Firstpage
    484
  • Lastpage
    486
  • Abstract
    GPS-equipped taxis are mobile sensors probing the traffic flow on road surfaces, and taxi drivers are experienced drivers who can usually find out the fastest path to a destination based on their knowledge. In this demo, we provide a user with the practically fastest path to a destination at a given departure time in terms of taxi drivers´ intelligence mined from historical GPS trajectories of taxis. We build our system, called T-Drive, by using a real trajectory dataset generated by over 33,000 taxis in a period of 3 months, and conduct both synthetic experiments and in-the-field evaluations. As a result, our method outperforms the real-time-traffic-based (RT) and the speed-constraint-based (SC) approaches in both efficiency and effectiveness.
  • Keywords
    Global Positioning System; driver information systems; road traffic; sensors; GPS-equipped taxis; T-Drive; mobile sensors; real trajectory dataset; speed-constraint-based approach; traffic flow; Driver circuits; Global Positioning System; Mobile communication; Roads; Routing; Sensors; Trajectory; GPS trajectory; Path finding; T-Drive; driving directions; landmark graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
  • Conference_Location
    Xian, Shaanxi
  • Print_ISBN
    978-1-4244-9043-1
  • Electronic_ISBN
    978-0-7695-4272-0
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2010.19
  • Filename
    5667121