Ranking carbon footprints of vehicles to determine driving behavior modifications
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.
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 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.
18 . The computer-readable storage medium of claim 16 , wherein the instructions further cause the processor to perform:
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.
19 . The computer-readable storage medium of claim 16 , wherein the instructions further cause the processor to perform:
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.
20 . The computer-readable storage medium of claim 16 , wherein the instructions further cause the processor to perform:
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.