User journey carbon footprint reduction

Patent metadata

Field	Value
Publication number	US-11971267-B2
Application number	US-202117493503-A
Country	US
Kind code	B2
Filing date	Oct 4, 2021
Priority date	Oct 5, 2020
Publication date	Apr 30, 2024
Grant date	Apr 30, 2024

Abstract

In some examples, user journey carbon footprint reduction may include generating, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction. A predicted journey carbon emissions may be generated for the vehicle for a specified journey. Based on collaborative filtering, at least one goal-based and conditions-based recommendation may be generated for the user of the vehicle for the specified journey for the user journey carbon footprint reduction. Based on a user behavior model, a user-interface display may be generated for the specified journey for the user journey carbon footprint reduction. Further, based on the user behavior model, and real-time monitoring of the user and the vehicle, a real-time update of the user-interface display may be generated for the specified journey for the user journey carbon footprint reduction.

First claim

What is claimed is:

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.

Assignees

• Accenture Global Solutions Ltd

Inventors

• Mehra Rohit
• Sharma Vibhu Saujanya
• Walia Dimple
• Khurana Prerna
• Banda Prasad Venkata Sai
• Grover Rahul
• Paul Sukanta
• Maggu Sunil

Classifications

• G01C21/3469 Primary

  Fuel consumption; Energy use; Emission aspects · CPC title

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title

• G01C21/3676

  Overview of the route on the road map · CPC title

• G06N5/02

  Knowledge representation; Symbolic representation · CPC title

• G06T19/006

  Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00) · CPC title