User journey carbon footprint reduction

1. A user journey carbon footprint reduction apparatus comprising:

a carbon emission quota allocator, executed by at least one hardware processor, to

generate, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction;

a journey carbon emissions predictor, executed by the at least one hardware processor, to

generate, for the vehicle, a predicted journey carbon emissions for a specified journey;

an advisory generator, executed by the at least one hardware processor, to

generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction;

an augmented reality-based advisory placement controller, executed by the at least one hardware processor, to

receive, from a depth sensor of a user device, a spatial map of a space including the vehicle;

analyze, based at least on the spatial map, bounds of the vehicle;

determine, based on the bounds of the vehicle, an optimal position for placement for an augmented reality user-interface display, wherein the optimal position refers to the vehicle in a user's view without occluding the user's view of the vehicle;

generate, based on a user behavior model, the augmented reality user-interface display including the at least one goal-based and conditions-based recommendation for the user journey carbon footprint reduction at the optimal position;

a real-time journey carbon emissions analyzer, executed by the at least one hardware processor, to

update, based on the user behavior model, and real-time monitoring of at least the user and the vehicle, the augmented reality user-interface display during the specified journey for the user journey carbon footprint reduction.

2. The user journey carbon footprint reduction apparatus according to claim 1 , wherein the carbon emission quota allocator is further executed by the at least one hardware processor to:

generate, based on a community of users, a knowledge model for the user journey carbon footprint reduction.

3. The user journey carbon footprint reduction apparatus according to claim 2 , further comprising:

a user gamification controller, executed by the at least one hardware processor, to

generate, based on the real-time monitoring of the user and the vehicle, an update to the knowledge model.

4. The user journey carbon footprint reduction apparatus according to claim 1 , wherein the carbon emission quota allocator is further executed by the at least one hardware processor to:

determine whether the user is able to adhere to the carbon emission quota; and

based on a determination that the user is able to adhere to the carbon emission quota, reduce the carbon emission quota.

5. The user journey carbon footprint reduction apparatus according to claim 4 , wherein the carbon emission quota allocator is further executed by the at least one hardware processor to:

based on a determination that the user is not able to adhere to the carbon emission quota, increase the carbon emission quota.

6. The user journey carbon footprint reduction apparatus according to claim 1 , wherein the advisory generator is executed by the at least one hardware processor to generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction by:

generating, by a conditions-based advisor, a weather based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction.

7. The user journey carbon footprint reduction apparatus according to claim 1 , wherein the advisory generator is executed by the at least one hardware processor to generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction by:

generating, by a goals-based advisor, a carbon quota based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction.

8. The user journey carbon footprint reduction apparatus according to claim 1 , wherein the advisory generator is executed by the at least one hardware processor to generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction by:

generating, by a collaborative filtering-based advisor, a usage based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction.

9. The user journey carbon footprint reduction apparatus according to claim 1 , wherein the real-time journey carbon emissions analyzer is executed by the at least one hardware processor to generate, based on the user behavior model, and real-time monitoring of the user and the vehicle, the real-time update of the user-interface display for the specified journey for the user journey carbon footprint reduction by:

generating the real-time update of the user-interface display to include alternate routes, vehicle turnoff recommendations, and driving tips.

10. The user journey carbon footprint reduction apparatus according to claim 1 , further comprising:

a metaphor mapper to:

receive a user selection of a metaphor; and

generate the metaphor for an impact of the specified journey on the user's carbon footprint in terms of equivalent metaphor.

11. A method for user journey carbon footprint reduction, the method comprising:

generating, by at least one hardware processor, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction;

generating, by the at least one hardware processor, for the vehicle, a predicted journey carbon emissions for a specified journey; and

generating, by the at least one hardware processor, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction;

receiving by the at least one hardware processor, from a depth sensor of a user device, a spatial map of a space including the vehicle;

analyzing based at least on the spatial map by the at least one hardware processor, bounds of the vehicle, wherein the optimal position points to the vehicle in the user's view without occluding the user's view of the vehicle;

determining, based on the bounds of the vehicle by the at least one hardware processor, an optimal position for placement for an augmented reality user-interface display;

generating, based on a user behavior model by the at least one hardware processor, the augmented reality user-interface display including the at least one goal-based and conditions-based recommendation for the user journey carbon footprint reduction;

positioning by the at least one hardware processor, the augmented reality user interface display at the optimal position within the user's field of view; and

updating by the at least one hardware processor based on the user behavior model and real-time monitoring of the user and the vehicle, the augmented reality user-interface display during the specified journey for the user journey carbon footprint reduction.

12. The method according to claim 11 , further comprising:

generating, by the at least one hardware processor, based on a community of users, a knowledge model for the user journey carbon footprint reduction.

13. The method according to claim 12 , further comprising:

generating, by the at least one hardware processor, based on the real-time monitoring of the user and the vehicle, an update to the knowledge model.

14. The method according to claim 11 , wherein generating, by the at least one hardware processor, based on the user behavior model, and real-time monitoring of the user and the vehicle, the real-time update of the user-interface display for the specified journey for the user journey carbon footprint reduction further comprises:

generating the real-time update of the user-interface display to include alternate routes, vehicle turnoff recommendations, and driving tips.

15. A non-transitory computer readable medium having stored thereon machine readable instructions, the machine readable instructions, when executed by at least one hardware processor, cause the at least one hardware processor to:

generate, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction;

generate, for the vehicle, a predicted journey carbon emissions for a specified journey;

generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction;

receive, from a depth sensor of a user device, a spatial map of a space including the vehicle;

analyze, based at least on the spatial map, bounds of the vehicle, wherein the optimal position points to the vehicle in the user's view without occluding the user's view of the vehicle;

determine, based on the bounds of the vehicle, an optimal position for placement for an augmented reality user-interface display;

generate, based on a user behavior model, the augmented reality user-interface display including the at least one goal-based and conditions-based recommendation for the user journey carbon footprint reduction;

position the augmented reality user interface display at the optimal position within the user's field of view; and

update, by the at least one hardware processor, based on the user behavior model, and real-time monitoring of the user and the vehicle, the augmented reality user-interface display for the specified journey for the user journey carbon footprint reduction.

16. The non-transitory computer readable medium according to claim 15 , the machine readable instructions, when executed by the at least one hardware processor, further cause the at least one hardware processor to:

generate, based on a community of users, a knowledge model for the user journey carbon footprint reduction.

17. The non-transitory computer readable medium according to claim 16 , the machine readable instructions, when executed by the at least one hardware processor, further cause the at least one hardware processor to:

generate, based on the real-time monitoring of the user and the vehicle, an update to the knowledge model.

18. The non-transitory computer readable medium according to claim 15 , the machine readable instructions to generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction, when executed by the at least one hardware processor, further cause the at least one hardware processor to:

generate a weather based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction.

19. The non-transitory computer readable medium according to claim 15 , the machine readable instructions to generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction, when executed by the at least one hardware processor, further cause the at least one hardware processor to:

generate a carbon quota based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction.

20. The non-transitory computer readable medium according to claim 15 , the machine readable instructions to generate, based on collaborative filtering, at least one goal-based and conditions-based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction, when executed by the at least one hardware processor, further cause the at least one hardware processor to:

generate a usage based recommendation for the user of the vehicle for the specified journey for the user journey carbon footprint reduction.