Searching for parking spots generates frustration and pollution. To address these parking problems, we present PocketParker, a crowdsourcing system using smart-phones to predict parking lot availability. PocketParker is an example of a subset of crowdsourcing we call pocket-sourcing. Pocketsourcing applications require no explicit user input or additional infrastructure, running e ectively without the phone leaving the user's pocket. PocketParker detects arrivals and departures by leveraging existing activity recognition algorithms. Detected events are used to maintain per-lot availability models and respond to queries. By estimating the number of drivers not using PocketParker, a small fraction of drivers can generate accurate predictions. Our evaluation shows that PocketParker quickly and correctly detects parking events and is robust to the presence of hidden drivers. Camera monitoring of several parking lots as 105 PocketParker users generated 10,827 events over 45 days shows that PocketParker was able to correctly predict lot availability 94% of the time.


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    Title :

    PocketParker: Pocketsourcing Parking Lot Availability


    Contributors:


    Publication date :

    2014


    Size :

    11 Seiten, Bilder, Tabellen, 17 Quellen




    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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