US 12,007,242 B2
Systems and methods for providing carbon offsets
Theobolt N. Leung, San Francisco, CA (US); Eric Dahl, Newman Lake, WA (US); and Kenneth Jason Sanchez, San Francisco, CA (US)
Assigned to BLUEOWL, LLC, San Francisco, CA (US)
Filed by BlueOwl, LLC, San Francisco, CA (US)
Filed on May 31, 2022, as Appl. No. 17/828,117.
Application 17/828,117 is a continuation of application No. 17/686,707, filed on Mar. 4, 2022.
Application 17/686,707 is a continuation of application No. PCT/US2020/003977, filed on Jun. 26, 2020.
Claims priority of provisional application 62/899,038, filed on Sep. 11, 2019.
Prior Publication US 2022/0292540 A1, Sep. 15, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/00 (2023.01); B60W 40/09 (2012.01); B60W 50/10 (2012.01); G01C 21/34 (2006.01); G01C 21/36 (2006.01); G06Q 30/018 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0207 (2023.01); G07C 5/04 (2006.01); G05B 19/418 (2006.01); G06Q 50/06 (2012.01); G06Q 50/40 (2024.01)
CPC G01C 21/3469 (2013.01) [B60W 40/09 (2013.01); B60W 50/10 (2013.01); G01C 21/3484 (2013.01); G01C 21/3492 (2013.01); G01C 21/3617 (2013.01); G06Q 30/018 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0224 (2013.01); G07C 5/04 (2013.01); B60W 2510/0638 (2013.01); B60W 2530/209 (2020.02); B60W 2540/30 (2013.01); G06Q 50/06 (2013.01); G06Q 50/40 (2024.01)] 17 Claims
OG exemplary drawing
 
1. A method for operating a computing device including one or more processors, the method comprising:
receiving, by the computing device, trip data defining occurrence of a vehicle trip by a user in a vehicle;
using a trained model, by the computing device using the trip data, to predict levels of mindful driving behavior, wherein the trained model is configured to be trained by:
collecting one or more sets of training data corresponding to levels of mindful driving behavior, the sets of training data adapted to be collected from one or more sensors associated with the vehicle;
processing the one or more sets of training data with the trained model to determine one or more mindful driving features;
generating a predicted level of mindful driving based on the one or more mindful driving features, the predicted level of mindful driving including one or more parameters; and
adjusting the one or more parameters associated with the predicted level of mindful driving to update the trained model;
receiving, by the computing device, fuel-consumption data, from the one or more sensors associated with the vehicle;
receiving, by the computing device, vehicle information of the vehicle;
receiving, by the computing device, mindful driving data including information related to a mindful driving behavior of the user;
processing the mindful driving data by the computing device using the trained model to determine a level of mindful driving behavior of the user during the vehicle trip;
calculating a level of carbon offset reward based upon the level of mindful driving behavior, wherein the level of carbon offset reward represents a percentage value;
determining, by the computing device in response to the trip data, an amount of total carbon emission of the vehicle during the vehicle trip based upon the fuel-consumption data and the vehicle information;
calculating, by the computing device, an amount of carbon offset reward based upon the level of carbon offset reward and the amount of total carbon emission; and
determining a monetary value associated with the amount of carbon offset reward to plant trees.