Parking identification and availability prediction
First Claim
Patent Images
1. A system, comprising:
- a model generating component to generate a parking prediction model based on training data;
an input component to receive input data, the input data including a destination and calendar information;
a computation component configured to;
identify at least one parking venue near the destination;
identify an event occurring at an event venue near the destination based on the calendar information;
retrieve a capacity for the event venue and an event type for the identified event;
calculate a crowd index based on the retrieved capacity and event type, wherein the crowd index is indicative of an estimate of a crowd size at the destination; and
generate at least one parking prediction corresponding to the at least one parking venue based at least in part on applying the input data and the calculated crowd index to the parking prediction model;
a presentation component to present the at least one parking venue and the at least one parking prediction to a user; and
a microprocessor to execute computer-executable instructions associated with at least one of the model generating component, the input component, the computation component, or the presentation component.
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Abstract
A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
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Citations
20 Claims
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1. A system, comprising:
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a model generating component to generate a parking prediction model based on training data; an input component to receive input data, the input data including a destination and calendar information; a computation component configured to; identify at least one parking venue near the destination; identify an event occurring at an event venue near the destination based on the calendar information; retrieve a capacity for the event venue and an event type for the identified event; calculate a crowd index based on the retrieved capacity and event type, wherein the crowd index is indicative of an estimate of a crowd size at the destination; and generate at least one parking prediction corresponding to the at least one parking venue based at least in part on applying the input data and the calculated crowd index to the parking prediction model; a presentation component to present the at least one parking venue and the at least one parking prediction to a user; and a microprocessor to execute computer-executable instructions associated with at least one of the model generating component, the input component, the computation component, or the presentation component. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-implemented method, comprising:
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generating a parking prediction model based on training data; receiving input data, the input data including a destination and calendar information; identifying at least one parking venue near the destination; identifying an event occurring at an event venue near the destination based on the calendar information; retrieving a capacity for the event venue and an event type for the identified event; calculating a crowd index based on the retrieved capacity and the event type, wherein the crowd index is indicative of an estimate of a crowd size at the destination; determining at least one parking prediction corresponding to the identified at least one parking venue based at least in part on applying the input data and the calculated crowd index to the parking prediction model; and presenting the identified at least one parking venue and the at least one parking prediction to a user. - View Dependent Claims (12, 13, 14, 15)
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16. A computer program product, the computer program product stored on a non-transitory computer-readable medium and including instructions configured to cause a processor to execute steps comprising:
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generating a parking prediction model based on training data; receiving input data, the input data including a destination and calendar information; identifying at least one parking venue near the destination; identifying an event occurring at an event venue near the destination based on the calendar information; retrieving a capacity for the event venue and an event type for the identified event; calculating a crowd index based on the retrieved capacity and the event type, wherein the crowd index is indicative of an estimate of a crowd size at the destination; determining at least one parking prediction corresponding to the identified at least one parking venue based at least in part on applying the input data and the calculated crowd index to the parking prediction model; and presenting the identified at least one parking venue and the at least one parking prediction to a user. - View Dependent Claims (17, 18, 19, 20)
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Specification