• DocumentCode
    625034
  • Title

    Real-Time Street Parking Availability Estimation

  • Author

    Bo Xu ; Wolfson, O. ; Jie Yang ; Stenneth, Leon ; Yu, Philip S. ; Nelson, Peter C.

  • Author_Institution
    Argonne Nat. Lab., Argonne, IL, USA
  • Volume
    1
  • fYear
    2013
  • fDate
    3-6 June 2013
  • Firstpage
    16
  • Lastpage
    25
  • Abstract
    Real-time parking availability information is important in urban areas, and if available could reduce congestion, pollution, and gas consumption. In this paper, we present a software solution called PhonePark for detecting the availability of on-street parking spaces. The solution uses the GPS and/or accelerometer sensors in a traveler´s mobile phone to automatically detect when and where the traveler parked her car, and when she released a parking slot. PhonePark can also utilize the mobile phone´s Bluetooth sensor or piggyback on street parking payment transactions for parking activity detection. Thus, the solution considers only mobile phones and does not rely on any external sensors such as cameras, wireless sensors embedded in the pavements, or ultrasonic sensors on vehicles. Further contributions include an algorithm to compute the historical parking availability profile for an arbitrary street block and algorithms to estimate the parking availability in real-time for a given street block. The algorithms are evaluated using real-time and real world street parking data.
  • Keywords
    Bluetooth; Global Positioning System; accelerometers; image sensors; mobile computing; mobile handsets; traffic engineering computing; Bluetooth sensor; GPS; PhonePark; accelerometer sensors; arbitrary street block; cameras; gas consumption; on-street parking spaces; parking activity detection; piggyback; real-time street parking availability estimation; software solution; street parking payment transactions; traveler mobile phone; ultrasonic sensors; urban areas; vehicles; wireless sensors; Availability; Bluetooth; Mobile handsets; Real-time systems; Sensors; Vehicles; GPS; Kalman Filter; activity recognition; bluetooth; mobile phones; parking; transportation mode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management (MDM), 2013 IEEE 14th International Conference on
  • Conference_Location
    Milan
  • Print_ISBN
    978-1-4673-6068-5
  • Type

    conf

  • DOI
    10.1109/MDM.2013.12
  • Filename
    6569118