DRIVING MANAGEMENT SYSTEM AND METHOD

• US 20120065834A1
• Filed: 09/10/2010
• Published: 03/15/2012
• Est. Priority Date: 09/10/2010
• Status: Abandoned Application

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: KURTH, Scott W., SENART, Aline, MESNAGE, Marion
• Application Number:
  US12/879,707
• Publication Number:
  US 20120065834A1
• Time in Patent Office: Days
• US Class Current: 701/31.4
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 9/00563 using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
• CPC Class Codes: G08G 1/0962 having an indicator mounted inside the vehicle, e.g. giving voice messages
• CPC Class Codes: G08G 1/205 Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental

Abstract

A driving management system includes a driving data collection module and a processing module. The driving data collection module, which is deployed within a vehicle, collects individual vehicle operation information for the vehicle in response to operation of the vehicle. The processing module compares the individual vehicle operation information with collective empirical vehicle operation information to provide individual comparison results. The processing module also provides vehicle operation feedback information to at least one user associated with the vehicle based on the individual comparison results. The collective empirical vehicle operation information is at least based on vehicle operation information for a plurality of other vehicles.

Claims

1. A driving management system comprising:

a driving data collection module, deployed within a vehicle, that is operative to collect individual vehicle operation information for the vehicle based on operation of the vehicle; and

a processing module, operatively connected to the driving data collection module, that is operative to compare the individual vehicle operation information with collective empirical vehicle operation information to provide individual comparison results, and further operative to provide vehicle operation feedback information to at least one user associated with the vehicle based on the individual comparison results, wherein the collective empirical vehicle operation information is at least based on vehicle operation information for a plurality of other vehicles.

2. The driving management system of claim 1, wherein the processing module is deployed within the vehicle.

3. The driving management system of claim 1, wherein the processing module is deployed remotely relative to the vehicle.

4. The driving management system of claim 1, further comprising a database module operatively connected to the processing module, that is operative to store at least one of:

the individual vehicle operation information and the collective empirical vehicle operation information.

5. The driving management system of claim 1, wherein the processing module, when providing the individual comparison results is further operative to:

identify at least one vehicle constraint in the individual vehicle operation information;

identify a portion of the collective empirical vehicle operation information having at least one constraint substantially similar to the at least one vehicle constraint;

identify at least one empirical variable in the portion of the collective empirical vehicle operation information; and

compare the at least one empirical variable with at least one vehicle variable of the individual vehicle operation information to provide the individual comparison results.

6. The driving management system of claim 5, wherein the at least one empirical variable comprises one of a best, worst, average and median value for the at least one empirical variable.

7. The driving management system of claim 1, wherein the processing module, when providing vehicle operation feedback information, is further operative to base the vehicle operation feedback information on adjustment of a travel performance metric.

8. The driving management system of claim 7, wherein the travel performance metric is based on at least one of:

fuel efficiency of the vehicle, usage efficiency of the vehicle, and an external objective relative to the vehicle.

9. The driving management system of claim 1 wherein the vehicle operation feedback information includes information regarding at least one of:

speed, acceleration, driving route, braking, transmission gear selection, or time of departure, or any combination thereof.

10. The driving management system of claim 1 further comprising a user interface, operatively connected to the processing module, that is operative to present the vehicle operation feedback information.

11. The driving management system of claim 10 wherein the user interface is deployed within the vehicle.

12. The driving management system of claim 10 wherein the user interface is deployed remotely relative to the vehicle.

13. The vehicle comprising the driving management system of claim 1.

14. A method of managing vehicle use comprising:

collecting individual vehicle operation information for a vehicle based on operation of the vehicle using a driving data collection module deployed within the vehicle;

comparing, using a processing module operatively connected to the driving data collection module, the individual vehicle operation information with collective empirical vehicle operation information to provide individual comparison results; and

providing, by the processing module, vehicle operation feedback information to at least one user associated with the vehicle based on the individual comparison results, wherein the collective empirical vehicle operation information is at least based on vehicle operation information for a plurality of other vehicles.

15. The method of claim 14 wherein the processing module is deployed within the vehicle.

16. The method of claim 14 wherein the processing module is deployed remotely relative to the vehicle.

17. The method of claim 14 further comprising storing at least one of:

the individual vehicle operation information and the collective empirical vehicle operation information in a database module operatively connected to the processing module.

18. The method of claim 14 wherein comparing to provide the individual comparison results further comprises:

identifying at least one vehicle constraint in the individual vehicle operation information;

identifying a portion of the collective empirical vehicle operation information having at least one constraint substantially similar to the at least one vehicle constraint;

identifying at least one empirical variable in the portion of the collective empirical vehicle operation information; and

comparing the at least one empirical variable with at least one vehicle variable of the individual vehicle operation information to provide the individual comparison results.

19. The method of claim 18, wherein the at least one empirical variable comprises one of a best, worst, average and median value for the at least one empirical variable.

20. The method of claim 14 wherein providing the vehicle operation feedback information further comprises determining the vehicle operation feedback information based on adjustment of a travel performance metric.

21. The method of claim 20, wherein the travel performance metric is based on at least one of:

fuel efficiency of the vehicle, usage efficiency of the vehicle, or an external objective relative to the vehicle, or any combination thereof.

22. The method of claim 14 wherein the vehicle operation feedback information includes information regarding at least one of either:

speed, acceleration, driving route, braking, transmission gear selection, or time of departure, or any combination thereof.

23. A method of managing vehicle use comprising:

receiving individual vehicle operation information;

providing vehicle operation feedback information to at least one user associated with the vehicle based on a comparison of the individual vehicle operation information with collective empirical vehicle operation information, wherein the collective empirical vehicle operation information is at least based on vehicle operation information for a plurality of other vehicles.

24. The method of claim 23 wherein determining the comparison further comprises:

identifying at least one vehicle constraint in the individual vehicle operation information;

identifying a portion of the collective empirical vehicle operation information having at least one constraint substantially similar to the at least one vehicle constraint;

identifying at least one empirical variable in the portion of the collective empirical vehicle operation information; and

comparing the at least one empirical variable with at least one vehicle variable of the individual vehicle operation information,

wherein the vehicle operation feedback information is based on the comparison between the at least one empirical variable with the at least one vehicle variable.

25. The method of claim 24 wherein the at least one empirical variable comprises one of a best, worst, average and median value for the at least one empirical variable.

26. The method of claim 23 wherein providing the vehicle operation feedback information further comprises determining the vehicle operation feedback information based on adjustment of a travel performance metric.

27. The method of claim 26, wherein the travel performance metric is based on at least one of:

fuel efficiency of the vehicle, usage efficiency of the vehicle, and an external objective relative to the vehicle.

28. The method of claim 23 wherein the vehicle operation feedback information includes information regarding at least one of:

speed, acceleration, driving route, braking, transmission gear selection, or time of departure or any combination thereof.