SYSTEM AND METHOD FOR DETERMINING DESTINATION CHARACTERISTICS OF VEHICLE OPERATORS

• US 20120215641A1
• Filed: 02/17/2011
• Published: 08/23/2012
• Est. Priority Date: 02/17/2011
• Status: Abandoned Application

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Inventors: Ohki, Eric
• Application Number:
  US13/029,725
• Publication Number:
  US 20120215641A1
• Time in Patent Office: Days
• US Class Current: 705/14.62
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station

Abstract

An intelligent telematics system that estimates an operator'"'"'s characteristics or predict the operator'"'"'s probable actions based on information collected at an on-board telematics unit and/or received from online services. The on-board telematics unit collects information for extracting a driving pattern of the operator of a vehicle. Such driving pattern information is processed in conjunction with information related to the operator available from the online services to intelligently predict or estimate the operator'"'"'s preferences, characteristics or probable actions. The on-board telematics unit provides information or services customized for the operator according to the predicted or estimated preferences, characteristics and probable actions.

Claims

1. A method of presenting information to an operator of a vehicle, comprising:

receiving previous destination information of the vehicle for a plurality of previous driving sessions;

extracting a driving pattern of the operator by analyzing the previous destination information;

generating information for presentation to the operator by predicting an activity or estimating characteristics of the operator in a current driving session based on the extracted driving pattern; and

sending the generated information to the vehicle for presentation to the operator.

2. The method of claim 1, further comprising receiving current session information associated with the current driving session, the information for presentation generated based further on the current session information.

3. The method of claim 2, wherein the current session information comprises at least one of (i) a destination as entered by the operator, (ii) a current location of the vehicle, (iii) a current state of the vehicle, and (iv) a current time.

4. The method of claim 1, further comprising:

receiving access information of the operator for identifying users connected to the operator in an online service;

collecting information about the users connected to the operator in the online service;

extracting common characteristics of the users connected to the operator; and

generating information for presentation based further on the extracted common characteristics.

5. The method of claim 4, wherein the information about the users comprise at least one of age, gender, ethnicity, height, weight, home address, office address, favorite brands of product or services, and academic institutions associated with each of the users.

6. The method of claim 4, wherein the online service comprises a social networking service.

7. The method of claim 1, wherein the previous destination information comprises previous destinations indicated by the operator.

8. The method of claim 1, wherein the previous destination information comprises locations of the vehicle when an engine of the vehicle is turned off.

9. The method of claim 1, wherein the previous destination information comprises one or more of (i) destinations manually entered by the operator or automatically detected by the vehicle, (ii) status of the vehicle detected by one or more sensors in the vehicle, and (iii) time information.

10. The method of claim 9, wherein the previous destination information comprises information received from an online service.

11. The method of claim 9, wherein the one or more sensors comprise at least one of (i) a sensor detecting engine ignition status of the vehicle, (ii) a seat sensor, (iii) a speedometer and (iv) an odometer.

12. The method of claim 1, wherein extracting the driving pattern comprises performing a statistical analysis or data mining on the previous destination information.

13. The method of claim 1, wherein the generated information comprises at least one of a recommended destination, a recommended activity and an advertisement.

14. The method of claim 1, wherein the generated information comprises a plurality of recommended destinations matching a preference of the operator.

15. The method of claim 14, further comprising receiving locations and times for driving to the recommended destinations, the locations and the times for driving to the recommended destinations included in the information for presentation to the operator.

16. The method of claim 1, wherein the generated information is for including in an advertisement on an Internet radio or for displaying on a display device in the vehicle.

17. A computing device for generating information customized for an operator of a vehicle, comprising:

a telematics communication module configured to receive previous destination information of the vehicle for a plurality of previous driving sessions;

a pattern correlator configured to extract a driving pattern of the operator by analyzing the previous destination information; and

a recommendation module configured to generate information for presentation to the operator by predicting activity or estimating characteristics of the operator in a current driving session based on the driving pattern, the generated information sent to the vehicle for presentation to the operator.

18. The computing device of claim 17, wherein the telematics communication module is further configured to receive current session information associated with the current driving session, and the recommendation module is configured to generate the information for presentation based further on the current session information.

19. The computing device of claim 17, wherein the current session information comprises at least one of (i) a destination as entered by the operator, (ii) a current location of the vehicle, (iii) a current state of the vehicle, and (iv) a current time.

20. The computing device of claim 17, further comprising an analyzer configured to:

collect information about users connected to the operator in an online service based on access information of the operator received from the operator; and

extract common characteristics of the users connected to the operator, the information for presentation generated based further on the extracted common characteristics.

21. The computing device of claim 20, wherein the online service comprises a social networking service.

22. The computing device of claim 17, wherein the previous destination information comprises previous destinations indicated by the operator and locations of the vehicle when an engine of vehicle is turned off.

23. The computing device of claim 17, wherein the previous destination information comprises one or more of (i) destinations manually entered by the operator or automatically detected by the vehicle, (ii) status of the vehicle detected by one or more sensors in the vehicle, and (iii) time information.

24. The computing device of claim 17, wherein the one or more sensors comprise at least one of (i) a sensor detecting engine ignition status of the vehicle, (ii) a seat sensor, (iii) a speedometer and (iv) an odometer.

25. The computing device of claim 17, wherein the generated information comprises at least one of a recommended destination, a recommended activity and an advertisement.

26. The computing device of claim 17, wherein the generated information comprises a plurality of recommended destinations matching a preference of the operator.

27. The computing device of claim 26, further comprising receiving locations and times for driving to the recommended destinations, the locations and the times for driving to the recommended destinations included in the information for presentation to the operator.

28. A method of presenting information to an operator of a vehicle in a telematics unit, comprising:

storing previous destination information of the vehicle for one or more previous driving sessions;

sending the previous destination information to a remote computing device to extract a driving pattern of the operator by analyzing the previous destination information, the remote computing device generating information for presentation to the operator by predicting activity or estimating characteristics of the operator in a current driving session based on the driving pattern;

receiving the generated information from the control center; and

presenting the generated information to the operator.

29. The method of claim 28, further comprising:

generating current session information associated with the current driving session; and

sending the current session information to the remote computing device, the remote computing device generating the information for presentation based further on the current session information.

30. The method of claim 28, wherein the remote computing device generates the information for presentation based further on information collected about the users connected to the operator in a online service.

31. The method of claim 28, further comprising storing destination received from the operator in the previous destination information.

32. A telematics units in a vehicle, comprising:

a destination repository configured to store previous destination information of the vehicle for one or more previous driving sessions;

a communication module configured to;

send the previous destination information to a remote computing device to extract a driving pattern of the operator by analyzing the previous destination information, the remote computing device generating information for presentation to the operator by predicting activity or estimating characteristics of the operator in a current driving session based on the driving pattern; and

receive the generated information from the control center; and

a display module configured to present the generated information to the operator.