CPC G01C 21/3438 (2013.01) [G06N 20/00 (2019.01); G06Q 10/02 (2013.01); G06Q 10/047 (2013.01); G06Q 30/0208 (2013.01); G06Q 30/0284 (2013.01); G06Q 50/30 (2013.01); G07C 5/008 (2013.01)] | 20 Claims |
1. A computer-implemented method of facilitating a first-mile/last-mile transfer of a vehicle, the method comprising:
analyzing a first route using a first trained machine learning model and a second route using a second trained machine learning model to determine, respectively, an incentive to a first user and a cost to a second user;
wherein the first trained machine learning model is trained using at least one of a historical data set of ride sharing data indicating at least one of a price that was paid, a distance traveled, a time of day, a time to arrival, a traffic congestion factor, or profile information about a vehicle operator, and
wherein the second trained machine learning model is trained using at least one of a detour in time, a delay in miles, a time of day, a traffic congestion factor, or profile information about a ride share passenger;
causing a first message including the incentive to be displayed to the first user via an electronic device of the first user; and
causing a second message including the cost to be displayed to the second user via an electronic device of the second user.
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