Personal fuel efficiency for vehicles of interest
US-2020168012-A1 · May 28, 2020 · US
US12460937B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12460937-B2 |
| Application number | US-202217876810-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 29, 2022 |
| Priority date | Jul 29, 2022 |
| Publication date | Nov 4, 2025 |
| Grant date | Nov 4, 2025 |
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An example operation includes one or more of: determining a first subgroup of a group of vehicles and a second subgroup of the group of vehicles, wherein the second subgroup has a higher carbon footprint than the first subgroup; and determining a driving behavior modification of a vehicle in the second subgroup based on a driving behavior of one or more vehicles in the first subgroup.
Opening claim text (preview).
What is claimed is: 1 . A method, comprising: identifying a first group of vehicles having a first carbon footprint and a second group of vehicles having a second carbon footprint that is greater than the first carbon footprint; identifying a vehicle in the second group of vehicles having a carbon footprint that exceeds an average carbon footprint for the second group of vehicles; identifying a similar vehicle of the first group of vehicles having a similar carbon footprint as the vehicle; determining to reduce carbon emissions of the vehicle based on driving behavior of the similar vehicle; and activating a mode of an engine of the vehicle based on a determination to reduce carbon footprint and instructing the engine to conserve fuel more efficiently based on the activated mode. 2 . The method of claim 1 , comprising: determining the carbon footprint for the vehicle as a function of distance based on an amount of fuel consumed by the vehicle; determining an estimated carbon footprint for the vehicle based on a model created using one or more models that are based on one or more typical driving patterns; comparing the carbon footprint with the estimated carbon footprint; and identifying the first group and the second group based on the comparing. 3 . The method of claim 1 , comprising: determining a plurality of driving behaviors that increase carbon emissions of the second group of vehicles; and providing a recommendation to a device associated with the vehicle, wherein the recommendation comprises a list of the plurality of driving behaviors, and one or more actions that may be taken to reduce the carbon emissions of the second group of vehicles. 4 . The method of claim 1 , comprising: ranking each vehicle in the second group of vehicles based on an individual carbon footprint for each vehicle; identifying another vehicle having a similar ranking to the vehicle or sharing one or more characteristics with the vehicle; and providing a recommendation to a device associated with the vehicle for reducing carbon footprint, wherein the recommendation is based upon data received from the another vehicle. 5 . The method of claim 1 , comprising: ranking each vehicle in the first group of vehicles to generate a vehicle ranking based on individual carbon footprints for each vehicle; and updating the vehicle ranking when the individual carbon footprint exceeds an average carbon footprint of the first group of vehicles. 6 . The method of claim 1 , comprising: providing a second recommendation to a device associated with the vehicle, the second recommendation including a second driving behavior modification for reducing the carbon footprint. 7 . The method of claim 1 , further comprising reducing a responsiveness of a throttle position sensor with respect to a throttle of the vehicle based on the determination to reduce carbon footprint. 8 . The method of claim 1 , further comprising controlling the vehicle to reduce fuel consumption by controlling the vehicle to consume energy from a rechargeable battery to conserve fuel more efficiently based on the determination to reduce carbon footprint. 9 . The method of claim 1 , further comprising reducing idling emissions of the engine of the vehicle prior to shutting off the engine of the vehicle based on the determination to reduce carbon footprint. 10 . A system, comprising: a processor that, when executing one or more instructions stored in an associated memory, is configured to: identify a first group of vehicles having a first carbon footprint and a second group of vehicles having a second carbon footprint that is greater than the first carbon footprint; identify a vehicle in the second group of vehicles having a carbon footprint that exceeds an average carbon footprint for the second group of vehicles; identify a similar vehicle of the first group of vehicles having a similar carbon footprint as the vehicle; determine to reduce carbon emissions of the vehicle based on driving behavior of the similar vehicle; and activate a mode of an engine of the vehicle based on a determination to reduce carbon footprint and instruct the engine to conserve fuel more efficiently based on the activated mode. 11 . The system of claim 10 , wherein the processor is further configured to: determine the carbon footprint for the vehicle as a function of distance based on an amount of fuel consumed by the vehicle; determine an estimated carbon footprint for the vehicle based on a model created using one or more models that are based on one or more typical driving patterns; compare the carbon footprint with the estimated carbon footprint; and identify the first group and the second group based on the comparing. 12 . The system of claim 10 , wherein the processor is further configured to: determines a plurality of driving behaviors that increase carbon emissions of the second group of vehicles; and provides a recommendation to a device associated with the vehicle, wherein the recommendation comprises a list of the plurality of driving behaviors, and one or more actions that may be taken to reduce the carbon emissions of the second group of vehicles. 13 . The system of claim 10 , wherein the processor is further configured to: rank each vehicle in the second group of vehicles based on an individual carbon footprint for each vehicle; identify another vehicle having a similar ranking to the vehicle or sharing one or more characteristics with the vehicle; and provide a recommendation to a device associated with the vehicle for reducing carbon footprint, wherein the recommendation is based upon data received from the another vehicle. 14 . The system of claim 10 , wherein the processor is further configured to: rank each vehicle in the first group of vehicles to generate a vehicle ranking based on individual carbon footprints for each vehicle; and update the vehicle ranking when the individual carbon footprint exceeds an average carbon footprint of the first group of vehicles. 15 . The system of claim 10 , wherein the processor is further configured to: provide a second recommendation to a device associated with the vehicle, wherein the second recommendation includes a second drive behavior modification to reduce the carbon footprint. 16 . A computer-readable storage medium comprising instructions that, when executed by a processor, cause the processor to perform: identifying a first group of vehicles having a first carbon footprint and a second group of vehicles having a second carbon footprint that is greater than the first carbon footprint; identifying a vehicle in the second group of vehicles having a carbon footprint that exceeds an average carbon footprint for the second group of vehicles; identifying a similar vehicle of the first group of vehicles having a similar carbon footprint as the vehicle; determining to reduce carbon emissions of the vehicle based on driving behavior of the similar vehicle; and activating a mode of an engine of the vehicle based on a determination to reduce carbon footprint and instructing the engine to conserve fuel more efficiently based on the activated mode. 17 . The computer-readable storage medium of claim 16 , wherein the instructions further cause the processor to perform: determining the carbon footprint for the vehicle as a function of distance based on an amount of fuel consumed by the vehicle; determining an estimated carbon footprint for the vehicle based on a model created using one or more models that are based on one or more
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