METHOD AND SYSTEM FOR PROVIDING DRIVING QUALITY FEEDBACK AND AUTOMOTIVE SUPPORT

• US 20140322676A1
• Filed: 04/26/2013
• Published: 10/30/2014
• Est. Priority Date: 04/26/2013
• Status: Abandoned Application

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Raman, Madhusudan
• Application Number:
  US13/871,585
• Publication Number:
  US 20140322676A1
• Time in Patent Office: Days
• US Class Current: 434/65
• CPC Class Codes: G09B 19/167 Control of land vehicles

Abstract

An approach for determining and scoring driving quality in real-time while supporting various in-vehicle services and leveraging information associated with and related to the driving experience includes collecting, in real-time, a plurality of contextual parameters associated with a user, classifying driving behavior of the user based on the contextual parameters, wherein the driving behavior corresponds to operation of one or more vehicles by the user, and generating a driving profile for the user according to the classification.

Claims

1. A method comprising:

collecting, in real-time, a plurality of contextual parameters associated with a user;

classifying driving behavior of the user based on the contextual parameters, wherein the driving behavior corresponds to operation of one or more vehicles by the user; and

generating a driving profile for the user according to the classification.

2. A method of claim 1, further comprising mapping the user to a ratings grid that indicates a range of driving behaviors versus a plurality of categories of incentive inducements.

3. A method of claim 2, further comprising:

determining one or more incentive inducements for one of the plurality of categories based on the mapped location of the user; and

providing one or more incentive inducements to the user,

wherein the incentive inducements, plurality of categories, or a combination thereof is associated with one or more applications relating to social networking, insurance, gamification, or a combination thereof.

4. A method of claim 1, further comprising:

generating a predictive model for predicting behavior with respect to one or more incentive inducements, one or more contextual offers, or a combination thereof; and

updating the predictive model based on changes to the driving profile, observed behavioral propensity, or a combination thereof.

5. A method of claim 1, further comprising:

processing the contextual parameters based on statistical techniques, machine learning, artificial intelligence, traditional driving guidelines, or a combination thereof to classify the driving behavior; and

wherein the plurality of driving parameters include credit score, and the driving behavior.

6. A method of claim 1, wherein the collected further comprising:

detecting that the user is operating one of the vehicles; and

collecting, in response to the detection of the user operating the one vehicle, a user profile data from a user device of the user,

wherein the user profile includes payment information associated with the user profile for completion of a transaction.

7. A method of claim 1, further comprising:

detecting, by one or more sensors associated with the user device operated by the user, emotional or waking state of the user; and

associating the detected state of the user with the driving behavior, the driving profile, or a combination.

8. A method of claim 7, wherein the user device includes a cellular phone.

9. An apparatus comprising:

a processor configured to;

collect, in real-time, a plurality of contextual parameters associated with a user,

classify driving behavior of the user based on the contextual parameters, wherein the driving behavior corresponds to operation of one or more vehicles by the user, and

generate a driving profile for the user according to the classification.

10. An apparatus of claim 9, wherein the processor is further configured to:

further comprising mapping the user to a ratings grid that indicates a range of driving behaviors versus a plurality of categories of incentive inducements,

determine one or more incentive inducements for one of the plurality of categories based on the mapped location of the user, and

provide one or more incentive inducements to the user,

wherein the incentive inducements, plurality of categories, or a combination thereof is associated with one or more applications relating to social networking, insurance, gamification, or a combination thereof.

11. An apparatus of claim 9, wherein the processor is further configured to:

generate a predictive model for predicting behavior with respect to one or more incentive inducements, one or more contextual offers, or a combination thereof, and

update the predictive model based on changes to the driving profile, observed behavioral propensity, or a combination thereof.

12. An apparatus of claim 9, wherein the processor is further configured to:

process the contextual parameters based on statistical techniques, machine learning, artificial intelligence, traditional driving guidelines, or a combination thereof to classify the driving behavior, and

wherein the plurality of driving parameters include credit score, and the driving behavior.

13. An apparatus of claim 9, wherein the processor is further configured to:

detect that the user is operating one of the vehicles, and

collect, in response to the detection of the user operating the one vehicle, a user profile data from a user device of the user,

wherein the user profile includes payment information associated with the user profile for completion of a transaction.

14. An apparatus of claim 9, wherein the processor is further configured to:

detect, by one or more sensors associated with the user device operated by the user, emotional or waking state of the user, and

associate the detected state of the user with the driving behavior, the driving profile, or a combination,

wherein the user device includes a cellular phone.

15. A system comprising:

a telematics device configured to collect, in real-time, a plurality of contextual parameters associated with a user; and

an automotive support platform configured to classify driving behavior of the user based on the contextual parameters, wherein the driving behavior corresponds to operation of one or more vehicles by the user, and generate a driving profile for the user according to the classification.

16. A system of claim 15, wherein the automotive support platform is further caused to:

map the user to a ratings grid that indicates a range of driving behaviors versus a plurality of categories of incentive inducements,

determine one or more incentive inducements for one of the plurality of categories based on the mapped location of the user, and

provide one or more incentive inducements to the user,

wherein the incentive inducements, plurality of categories, or a combination thereof is associated with one or more applications relating to social networking, insurance, gamification, or a combination thereof.

17. A system of claim 15, wherein the automotive support platform is further caused to:

generate a predictive model for predicting behavior with respect to one or more incentive inducements, one or more contextual offers, or a combination thereof, and

update the predictive model based on changes to the driving profile, observed behavioral propensity, or a combination thereof.

18. A system of claim 15, wherein the automotive support platform is further caused to:

process the contextual parameters based on statistical techniques, machine learning, artificial intelligence, traditional driving guidelines, or a combination thereof to classify the driving behavior,

wherein the plurality of driving parameters include credit score, and the driving behavior.

19. A system of claim 15, wherein the automotive support platform is further caused to:

detect that the user is operating one of the vehicles,

dispatch, in response to the detection of an anomaly, an alert to the user device of the user, and

notify a third party regarding the anomaly event detected.

20. A system of claim 15, wherein the automotive support platform is further caused to:

detect that the user is operating one of the vehicles, and

collect, in response to the detection of the user operating the one vehicle, a user profile data from the user device of the user,

wherein the user profile includes payment information associated with the user profile for completion of a transaction.

21. A system of claim 15, wherein the automotive support platform is further caused to:

detect, by one or more sensors associated with the user device operated by the user, emotional or waking state of the user, and

associate the detected state of the user with the driving behavior, the driving profile, or a combination,

wherein the user device includes a cellular phone.