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US 2019/0163826 A1Published application
Parking search time estimation using cognitive analytics
AssigneeInternational Business Machines Corporation
InventorsGregg M. Arquero, Steven N. Burchfield
Life of this patent
Estimating the term…
Abstract
Machine logic (for example, software) for estimating how much time it will take to find a parking space for a vehicle at a destination. The machine logic rules request historical data to initially train a machine learning algorithm for estimating how much time it will take to find a parking space, and then estimates how long it will take to find a parking space when provided with a set of parking factors for an intended destination and route.
Claims18
A method comprising:
- receiving a historical parking factors data set;
- training a time to park algorithm based, at least in part, on the historical parking factors data set;
- receiving a target destination data set, where the target destination data set includes a route to a target destination for a vehicle;
- querying, from a parking factors server, a parking factors data set, where the parking factors data set includes parking factors along the route to the target destination and at the target destination;
- responsive to receiving the parking factors data set, determining an approximate time to park based, at least in part, the time to park algorithm using the parking factors data set as input;
- and
- responsive to the vehicle parking at the target destination, updating the time to park algorithm based, at least in part, on parking factors present prior to the vehicle parking at the target destination.
4 more elements
A computer program product comprising:
- a machine readable storage device;
- and
- computer code stored on the machine readable storage device, with the computer code including instructions for causing a processor(s) set to perform operations including the following:
- receiving a historical parking factors data set;
- training a time to park algorithm based, at least in part, on the historical parking factors data set;
- receiving a target destination data set, where the target destination data set includes a route to a target destination for a vehicle;
- querying, from a parking factors server, a parking factors data set, where the parking factors data set includes parking factors along the route to the target destination and at the target destination;
- responsive to receiving the parking factors data set, determining an approximate time to park based, at least in part, the time to park algorithm using the parking factors data set as input;
- and
- responsive to the vehicle parking at the target destination, updating the time to park algorithm based, at least in part, on parking factors present prior to the vehicle parking at the target destination.
7 more elements
A computer system comprising:
- a processor(s) set;
- a machine readable storage device;
- and
- computer code stored on the machine readable storage device, with the computer code including instructions for causing the processor(s) set to perform operations including the following:
- receiving a historical parking factors data set;
- training a time to park algorithm based, at least in part, on the historical parking factors data set;
- receiving a target destination data set, where the target destination data set includes a route to a target destination for a vehicle;
- querying, from a parking factors server, a parking factors data set, where the parking factors data set includes parking factors along the route to the target destination and at the target destination;
- responsive to receiving the parking factors data set, determining an approximate time to park based, at least in part, the time to park algorithm using the parking factors data set as input;
- and
- responsive to the vehicle parking at the target destination, updating the time to park algorithm based, at least in part, on parking factors present prior to the vehicle parking at the target destination.
8 more elements
Dependencies are inferred from the claim text.