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Predicting parking availability

  • US 8,484,151 B1
  • Filed: 12/29/2010
  • Issued: 07/09/2013
  • Est. Priority Date: 12/29/2010
  • Status: Active Grant
First Claim
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1. A method of predicting parking availability for a geographic area, comprising:

  • defining a Markov Random Field (MRF) model for estimating a number of mobile devices used within the geographic area;

    applying current data describing a number of mobile devices currently observed within the geographic area and historical data describing a number of mobile devices historically observed within the geographic area to the MRF model to produce an estimate of a number of mobile devices currently being used within the geographic area;

    predicting a geographic population density for the geographic area responsive to the estimated number of mobile devices currently being used within the geographic area;

    applying the predicted geographic population density to a parking availability model to produce a prediction of the parking availability for the geographic area, wherein the parking availability model comprises a function relating predicted geographic population density for the geographic area to predicted parking availability for the geographic area; and

    storing the predicted parking availability for the geographic area in a computer-readable storage medium.

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