US 11,867,524 B2
Automatic prediction of visitations to specified points of interest
David J. Klein, Los Altos, CA (US); Ionel-Alexandru Hosu, Bucharest (RO); and Silas M. Toms, San Francisco, CA (US)
Assigned to VOLTA CHARGING, LLC, San Francisco, CA (US)
Filed by VOLTA CHARGING, LLC, San Francisco, CA (US)
Filed on Aug. 24, 2022, as Appl. No. 17/822,103.
Application 17/822,103 is a continuation of application No. 17/880,538, filed on Aug. 3, 2022.
Claims priority of provisional application 63/229,002, filed on Aug. 3, 2021.
Prior Publication US 2023/0043023 A1, Feb. 9, 2023
Int. Cl. G01C 21/36 (2006.01); H04W 4/021 (2018.01); G06N 5/022 (2023.01)
CPC G01C 21/3679 (2013.01) [G06N 5/022 (2013.01); H04W 4/022 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
training a machine learning model to predict at least one visitation metric that reflects visitation of points of interest (POIs) for which visitation metrics are not currently available;
wherein training the machine learning model comprises training the machine learning model using a training dataset comprising:
visitation data for one or more points of interest for which visitation metrics are currently available, and
visitation metrics for the one or more points of interest;
using the trained machine learning model, determining a particular visitation metric for a particular POI for which visitation metrics are not currently available based on one or more inputs associated with the particular POI;
selecting the particular POI for placement of an electric vehicle charging station (EVCS) based, at least in part, on the particular visitation metric satisfying one or more criteria;
calculating a deficiency value and a served value for a specific type of charger, wherein the deficiency value and the served value are calculated based on an essential population of electric vehicle drivers in a same category as the particular POI that exist in an area around the particular POI and one or more charging recommendations that indicate an amount of chargers of the specific type that the area around the particular POI can support;
calculating a first partial visitation lift value based on the deficiency value;
calculating a second partial visitation lift value based on the served value;
calculating a total visitation lift value for the particular POI based on the first partial visitation lift value and the second partial visitation lift value;
wherein selecting the particular POI for placement of an EVCS is additionally based on the total visitation lift value for the particular POI.