• DocumentCode
    3417562
  • Title

    Nerimi: WiFi-based subway navigation system

  • Author

    Inje Lee ; Giwan Yoon ; Dongsoo Han

  • Author_Institution
    Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • fYear
    2011
  • fDate
    24-25 Aug. 2011
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, we propose a WiFi-based stop notification system. The users of the system inform their destination stops to the system, then the system provides subway navigation services to the users in real-time. To construct the system, we have collected WiFi fingerprints at 15 lines for 536 Seoul subway stops. Also, we have implemented a WiFi-based subway stop notification system for Seoul subways in Korea. We have tested the accuracy of our system, Nerimi, at Seoul subways. Among the 536 stops, the system could detect the subway stops with over 90% accuracy. Thus, if we can capture the WiFi signals at every stop of the subways, using the WiFi signals will be highly eligible for building a subway navigation system.
  • Keywords
    fingerprint identification; navigation; wireless LAN; Korea; Nerimi; Seoul; WiFi fingerprints; WiFi-based stop notification system; WiFi-based subway navigation system; WiFi-based subway stop notification system; subway navigation services; Accuracy; Fingerprint recognition; IEEE 802.11 Standards; Mobile communication; Navigation; Radar tracking; Smart phones; Subway; Wi-Fi; navigation; stop notification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Radio for Future Personal Terminals (IMWS-IRFPT), 2011 IEEE MTT-S International Microwave Workshop Series on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4577-0961-6
  • Electronic_ISBN
    978-1-4577-0963-0
  • Type

    conf

  • DOI
    10.1109/IMWS2.2011.6027187
  • Filename
    6027187