Predicting parking availability
First Claim
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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Accused Products
Abstract
The parking availability for a geographic area is predicted using a parking availability model. The geographic population density for the geographic area is first predicted. The predicted geographic population density is then applied to the parking availability model to produce a prediction of the parking availability for the geographic area. The parking availability model comprises a function that relates predicted geographic population densities with parking availabilities for a geographic area. The predicted parking availability for the geographic area is stored in a computer-readable storage medium. The parking availability predictions may be displayed as a layer within a map, and may be produced for a specifically requested geographic area, or a general geographic area.
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Citations
19 Claims
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1. A method of predicting parking availability for a geographic area, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer for predicting parking availability for a geographic area, comprising:
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a non-transitory computer-readable storage medium storing executable computer program instructions comprising instructions for; 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; and a processor for executing the computer program instructions. - View Dependent Claims (11, 12, 13, 14)
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15. A non-transitory computer-readable storage medium storing executable computer program instructions for predicting parking availability, the instructions comprising instructions for:
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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. - View Dependent Claims (16, 17, 18, 19)
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Specification