Driving workload estimation

• US 6,998,972 B2
• Filed: 10/31/2002
• Issued: 02/14/2006
• Est. Priority Date: 10/31/2002
• Status: Expired due to Fees

• Current Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Original Assignee: Saab Automobile AB (China Evergrande Group), General Motors Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Geisler, Scott P., Repa, Brian S., Creech, Thomas William, Nabo, Arne
• Primary Examiner(s): Hofsass, Jeffery
• Assistant Examiner(s): LAI, ANNE VIET NGA
• Application Number:
  US10/285,371
• Publication Number:
  US 20040088205A1
• Time in Patent Office: 1,202 Days
• Field of Search: 340/438, 340/439, 180/272, 701/1, 701/35
• US Class Current: 340/439
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

A method for estimating workload placed on the driver of a vehicle. The method comprises receiving workload estimation data. A driving workload estimate is calculated in response to the workload estimation data. The driving workload estimate is indicative of current and previously occurring conditions. The driving workload estimate is then output.

Claims

1. A method for estimating workload placed on a driver of a vehicle, the method comprising:

receiving workload estimation data;

calculating a driving workload estimate in response to said workload estimation data and to previously received work load estimation data, said driving workload estimate including an instantaneous workload estimate indicative of current conditions, and one or more of an intermediate workload estimate and an overall workload estimate indicative of previously occurring conditions data; and

outputting said driving workload estimate.

2. The method of claim 1 wherein said workload estimation data includes internally generated vehicle data.

3. The method of claim 1 wherein said workload estimation data includes environment data.

4. The method of claim 1 wherein said workload estimation data includes current task data.

5. The method of claim 1 wherein said instantaneous workload estimate reflects the previous zero to three seconds of vehicle operation.

6. The method of claim 1 wherein said intermediate workload estimate reflects the previous three seconds to three minutes of vehicle operation.

7. The method of claim 1 wherein said overall workload estimate reflects vehicle operation for the entire ignition cycle.

8. The method of claim 1 wherein said driving workload estimate is expressed as a number ranging from one to ten.

9. The method of claim 1 wherein said driving workload estimate is expressed as a number ranging from one to one-hundred.

10. The method of claim 1 wherein said calculating a driving work load estimate includes:

assigning an instantaneous value to at least one of said workload estimation data;

applying an instantaneous workload function, wherein input to said instantaneous workload function includes each said instantaneous value and said applying results in the instantaneous workload estimate;

assigning an intermediate value to at least one of said workload estimation data;

applying an intermediate workload function, wherein input to said intermediate workload function includes each said intermediate value and said applying results in the intermediate workload estimate;

assigning an overall value to at least one of said workload estimation data; and

applying an overall workload function, wherein input to said overall workload function includes each said overall value and said applying results in the overall workload estimate.

11. The method of claim 1 wherein said outputting includes transmitting said driving workload estimate to a specified location.

12. The method of claim 11 wherein said specified location is a vehicle information management system.

13. The method of claim 1 wherein said outputting includes writing said driving workload estimate to a log file.

14. The method of claim 1 wherein said outputting is performed on a periodic basis.

15. The method of claim 14 wherein said periodic basis less than one second.

16. The method of claim 1 wherein said workload estimation data includes at least one of vehicle speed, turn signal status, anti-lock brake status, traction control system status, vehicle stability data, steering wheel angle data, brake position data, throttle position data, engine revolutions per minute, spark data and fuel data.

17. The method of claim 1 wherein said workload estimation data includes at least one of headlamp status, wiper status, defroster status, outside air temperature data, global positioning data and time of day.

18. The method of claim 1 wherein said workload estimation data includes at least one of radio information and phone status.

19. The method of claim 1 wherein said workload estimation data includes adaptive cruise control data.

20. The method of claim 1 wherein said workload estimation data includes at least one of forward collision warning data, side object detection data and rear collision warning data.

21. The method of claim 1 wherein said workload estimation data includes lane departure warning data.

22. The method of claim 1 wherein said workload estimation data includes driver identification data.

23. A system for estimating workload placed on a driver of a vehicle, the system comprising:

a network; and

a microprocessor in communication with said network, said microprocessor including instructions to implement the method comprising;

receiving workload estimation data from said network;

calculating a driving workload estimate in response to said workload estimation data and to previously received workload estimation data, said driving workload estimate including an instantaneous workload estimate indicative of current conditions, and one or more of an intermediate workload estimate and an overall workload estimate indicative of previously occurring conditions; and

outputting said driving workload estimate.

24. The system of claim 23 further comprising a vehicle sensor in communication with said network for creating said workload estimation data.

25. The system of claim 23 wherein said network is the Internet.

26. The system of claim 23 wherein said network is a wireless network.

27. The system of claim 23 wherein said outputting said driving workload estimate includes transmitting said driving workload estimate to a receiving location over said network.

28. A computer program product for estimating workload placed on a driver of a vehicle, the product comprising:

a storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising;

receiving workload estimation data;

calculating a driving workload estimate in response to said workload estimation data and to previously received workload estimation data, said driving workload estimate including an instantaneous workload estimate indicative of current conditions, and one or more of an intermediate workload estimate and an overall workload estimate indicative of previously occurring conditions; and

outputting said driving workload estimate.

29. A method for estimating workload placed on a driver of a vehicle, the method comprising:

receiving workload estimation data;

calculating a driving workload estimate in response to said workload estimation data, said driving workload estimate being indicative of current and previously occurring conditions, the calculating including;

assigning an instantaneous value to at least one of said workload estimation data;

applying an instantaneous workload function, wherein input to said instantaneous workload function includes each said instantaneous value and said applying results in an instantaneous workload estimate;

assigning an intermediate value to at least one of said workload estimation data;

applying an intermediate workload function, wherein input to said intermediate workload function includes each said intermediate value and said applying results in an intermediate workload estimate;

assigning an overall value to at least one of said workload estimation data; and

applying an overall workload function, wherein input to said overall workload function includes each said overall value and said applying results in an overall workload estimate; and

outputting said driving workload estimate.