SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR MACHINE-LEARNING-BASED TRAFFIC PREDICTION

摘要

Described are a system, method, and computer program product for machine-learning-based traffic prediction. The method includes receiving 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. The method also includes identifying, 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. The method further includes generating, 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. The method also includes comparing 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, the method includes generating, a communication to at least one navigation device configured to cause the at least one navigation device to modify a navigation route and communicating the communication to the at least one navigation device.