US 11,237,013 B2 · System, method, and computer program product for machine-learning-based traffic prediction

Abstract

Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving historic transaction data including a plurality of transactions. The method also includes generating, using a machine-learning classification model, a transportation categorization for at least one consumer. The method further includes receiving at least one message associated with at least one transaction, identifying at least one geographic node of activity in the region, and generating an estimate of traffic intensity for the at least one geographic node of activity. The method further includes comparing the estimate of traffic intensity to a threshold of traffic intensity and, in response to determining that the estimate of traffic intensity satisfies the threshold: generating a communication configured to cause at least one navigation device to modify a navigation route; and communicating the communication to the at least one navigation device.

Claims20

Dependent claims

A computer-implemented method, comprising:

receiving, with at least one processor, at least one message associated with at least one transaction between at least one consumer and at least one point-of-sale terminal in a region;
identifying, with at least one processor and based on the at least one message, at least one geographic node of activity in the region comprising the at least one point-of-sale terminal;
generating, with at least one processor and based at least partially on a transportation categorization of the at least one consumer, an estimate of traffic intensity for the at least one geographic node of activity;
comparing, with at least one processor, the estimate of traffic intensity for the at least one geographic node of activity to a threshold of traffic intensity;
in response to determining that the estimate of traffic intensity for the at least one geographic node of activity satisfies the threshold, generating, with at least one processor, a communication to at least one navigation device configured to cause the at least one navigation device to modify a navigation route;
and
communicating, with at least one processor, the communication to the at least one navigation device.

4 more elements

A system comprising at least one server computer including at least one processor, the at least one server computer is programmed and/or configured to:

receive at least one message associated with at least one transaction between at least one consumer and at least one point-of-sale terminal in a region;
identify, based on the at least one message, at least one geographic node of activity in the region comprising the at least one point-of-sale terminal;
generate, based at least partially on a transportation categorization of the at least one consumer, an estimate of traffic intensity for the at least one geographic node of activity;
compare the estimate of traffic intensity for the at least one geographic node of activity to a threshold of traffic intensity;
in response to determining that the estimate of traffic intensity for the at least one geographic node of activity satisfies the threshold of traffic intensity, generate a communication to at least one navigation device configured to cause the at least one navigation device to modify a navigation route;
and
communicate the communication to the at least one navigation device.

4 more elements

A computer program product comprising at least one non-transitory computer-readable medium including program instructions that, when executed by at least one processor, cause the at least one processor to:

receive at least one message associated with at least one transaction between at least one consumer and at least one point-of-sale terminal in a region;
identify, based on the at least one message, at least one geographic node of activity in the region comprising the at least one point-of-sale terminal;
generate, based at least partially on a transportation categorization of the at least one consumer, an estimate of traffic intensity for the at least one geographic node of activity;
compare the estimate of traffic intensity for the at least one geographic node of activity to a threshold of traffic intensity;
in response to determining that the estimate of traffic intensity for the at least one geographic node of activity satisfies the threshold of traffic intensity, generate a communication to at least one navigation device configured to cause the at least one navigation device to modify a navigation route;
and
communicate the communication to the at least one navigation device.

4 more elements

Dependencies are inferred from the claim text.

System, method, and computer program product for machine-learning-based traffic prediction

Life of this patent

System, method, and computer program product for machine-learning-based traffic prediction

Life of this patent

Abstract

Claims20