Driver Performance Metric

• US 20130052614A1
• Filed: 08/31/2012
• Published: 02/28/2013
• Est. Priority Date: 08/31/2011
• Status: Abandoned Application

• Current Assignee: Pulsar Informatics, Inc.
• Original Assignee: Pulsar Informatics, Inc.
• Inventors: Mollicone, Daniel Joseph, Kan, Kevin Gar Wah, Mott, Christopher Grey, Biondo, Damian Marcus
• Application Number:
  US13/602,084
• Publication Number:
  US 20130052614A1
• Time in Patent Office: Days
• US Class Current: 434/65
• CPC Class Codes: B60W 2050/046 involving external transmission of data to or from the vehicle, e.g. via telemetry, satellite, Global Positioning System [GPS]
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction
• CPC Class Codes: G09B 19/167 Control of land vehicles

Abstract

Systems and methods for quantifiable assessment of vehicle driver performance based upon objective standards are disclosed. The physical and/or control states of a vehicle are monitored by sensors during a driving trip. Measurement data, optionally comprising a measurement signal, is composed from parameters selected from the measured physical and/or control states. The measurement data is then compared to reference data, optionally comprising a reference signal, comprising the same or similar physical and control state parameters, for the same or analogous driving trip or portion thereof, including discrete driving tasks, as determined by one or more of: a known driver of specific attributes, a population average, or an autonomous driving algorithm. A metric of comparison may be determined as one or more characteristic metrics of a driving task, according to one or more path metrics of a driving task, or as a signal distance metric between the reference and measurement signals.

Claims

1. A method, using a computer, for assessing driver performance relative to a standard of performance, the method comprising:

receiving measurement data at a computer, the measurement data indicative of one or more vehicle state parameters corresponding to a driver operating the vehicle during a driving trip;

receiving reference data at the computer, the reference data indicative of one or more vehicle state parameters corresponding to a standard of performance for the vehicle during at least a portion of the driving trip; and

determining, at the computer, at least one metric of comparison based at least in part on the received measurement data and the received reference data, the metric of comparison indicative of an assessment of the driver operating the vehicle relative to the standard of performance for at least a portion of the driving trip.

2. A method according to claim 1 wherein receiving the measurement data at a computer comprises receiving a measurement signal at a computer, the measurement signal being comprised of one or more time series functions of vehicle state parameters corresponding to a driver operating a vehicle during a driving trip.

3. A method according to claim 1 wherein receiving the measurement data comprises receiving one or more measurement driving task characteristics at the computer, the one or more measurement driving task characteristics each being indicative of one or more vehicle state parameters during execution of a driving task by the driver.

4. A method according to claim 1 wherein receiving reference data at the computer comprises receiving a reference signal at the computer, the reference signal being comprised of one or more time series functions of vehicle state parameters representing the standard of performance for the vehicle during at least a portion of the driving trip.

5. A method according to claim 1 wherein receiving reference data at the computer comprises receiving one or more reference driving task characteristics at the computer, the one or more reference driving task characteristics each being indicative of one or more vehicle state parameters during execution of a driving task in conformity with the standard of performance for the driving task.

6. A method according to claim 1 wherein the determined at least one metric of comparison is determined for the entire trip.

7. A method according to claim 1 wherein the driving trip is comprised of at least one driving task, wherein the received reference data comprises reference data relating to the at least one driving task, and wherein the determined at least one metric of comparison is determined for the at least one driving task.

8. A method according to claim 1 wherein at least one the of vehicle state parameters comprising the received measurement data is indicative of a physical state parameter of the vehicle.

9. A method according to claim 8 wherein the physical state parameter comprises one or more of:

the vehicle'"'"'s position, the vehicle'"'"'s orientation, one or more time derivatives of the vehicle'"'"'s position, one or more time derivatives of the vehicle'"'"'s orientation, a lane position of the vehicle, and a collision-risk of the vehicle.

10. A method according to claim 1 wherein at least one of the of vehicle state parameters comprising the received measurement data is indicative of a control state parameter of the vehicle.

11. A method according to claim 10 wherein the control state parameter comprises one or more of:

a status of the vehicle'"'"'s steering apparatus, a status of the vehicle'"'"'s acceleration system, a status of the vehicle'"'"'s driving brake system, a status of the vehicle'"'"'s clutch system, a status of the vehicle'"'"'s gearing system, a status of the vehicle'"'"'s turn signal system, a status of the vehicle'"'"'s hazard light system, a status of the vehicle'"'"'s windshield wiper system, a status of one or more of the vehicle'"'"'s entertainment systems, a status of the vehicle'"'"'s parking brake vehicle, a status of the vehicle'"'"'s fuel gauge system, a throttle angle of the vehicle, an engine speed of the vehicle, a turbine speed of the vehicle, an engine torque of the vehicle, a driven wheel speed of the vehicle, a drive wheel speed of the vehicle, a status of the vehicle'"'"'s fuel flow meter system, a status of the vehicle'"'"'s fuel injection system, and an engine piston firing period of the vehicle.

12. A method according to claim 1 wherein at least one the of vehicle state parameters comprising the received reference data is indicative of a physical state parameter of the vehicle.

13. A method according to claim 12 wherein the physical state parameter comprises one or more of:

the vehicle'"'"'s position, the vehicle'"'"'s orientation, one or more time derivatives of the vehicle'"'"'s position, one or more time derivatives of the vehicle'"'"'s orientation, a lane position of the vehicle, and a collision-risk of the vehicle.

14. A method according to claim 1 wherein at least one of the of vehicle state parameters comprising the received reference data is indicative of a control state parameter of the vehicle.

15. A method according to claim 14 wherein the control state parameter comprises one or more of:

a status of the vehicle'"'"'s steering apparatus, a status of the vehicle'"'"'s acceleration system, a status of the vehicle'"'"'s driving brake system, a status of the vehicle'"'"'s clutch system, a status of the vehicle'"'"'s gearing system, a status of the vehicle'"'"'s turn signal system, a status of the vehicle'"'"'s hazard light system, a status of the vehicle'"'"'s windshield wiper system, a status of one or more of the vehicle'"'"'s entertainment systems, a status of the vehicle'"'"'s parking brake vehicle, a status of the vehicle'"'"'s fuel gauge system, a throttle angle of the vehicle, an engine speed of the vehicle, a turbine speed of the vehicle, an engine torque of the vehicle, a driven wheel speed of the vehicle, a drive wheel speed of the vehicle, a status of the vehicle'"'"'s fuel flow meter system, a status of the vehicle'"'"'s fuel injection system, and an engine piston firing period of the vehicle.

16. A method according to claim 1 wherein receiving reference data comprises receiving reference data from an automated driving algorithm applied to the at least a portion of the driving trip.

17. A method according to claim 1 wherein receiving reference data comprises receiving reference data representing how a population of drivers executes the at least a portion of the driving trip.

18. A method according to claim 1 wherein receiving reference data comprises receiving reference data representing how a known human driver executes the at least a portion of the driving trip.

19. A method according to claim 1 wherein receiving reference data comprises receiving reference data representing execution of the at least a portion of the driving trip in a fuel-consumption optimized manner.

20. A method according to claim 1 wherein receiving reference data comprises receiving reference data representing execution of the at least a portion of the driving trip in a collision-risk minimized manner.

21. A method according to claim 1 wherein one or more of the vehicle state parameters comprising the reference data are of the same type as one or more vehicle state parameter comprising the measurement data.

22. A method according to claim 21 further comprising:

synchronizing the received measurement data and the received reference data.

23. A method according to claim 1 further comprising:

standardizing the received measurement data and the received reference data.

24. A method according to claim 23 wherein standardizing the received measurement data and the received reference data comprises standardizing the received measurement data and the received reference data with respect to one or more of:

the number of vehicle state parameters, the type of vehicle state parameters, units of measurement for one or more the vehicle state parameters, data sources for one or more vehicle state parameters, and sensors used to measure the one or more vehicle state parameters.

25. A method according to claim 1 wherein receiving the measurement data at a computer comprises receiving the measurement data at the computer from more than one measurement sensor for at least one vehicle state parameter and applying a data fusion technique to determine the value of the vehicle state parameter.

26. A method according to claim 25 wherein the data fusion technique comprises one or more of:

applying a Kalman filter, applying an unscented Kalman filter, applying a Bayesian data fusion technique, and applying a Monte Carlo technique.

27. A method according to claim 1 wherein the driving trip is comprised at least in part of one or more driving tasks.

28. A method according to claim 27 wherein at least one of the one or more driving tasks comprising the driving trip is characterized by one or more of:

a start time, a start location, an end time, an end location, one or more intermediate locations, one or more roadway parameters, and one or more environmental factors.

29. A method according to claim 27 wherein the one or more roadway parameters comprise one or more of:

a radius of curvature, a speed limit, a number of driving lanes comprising the roadway, a width of a driving lane comprising the roadway, a geographic location, and a measure of straightness of the roadway.

30. A method according to claim 25 wherein the one or more environmental factors comprise one or more of:

the presence of another vehicle, the presence of a pedestrian, the presence of an obstacle in the roadway, a climate condition, and a temperature.

31. A method according to claim 25 wherein at least one of the one or more driving tasks comprising the driving trip is associated with a driving-task classification.

32. A method according to claim 31 wherein the driving-task classification comprises one or more of:

a straightaway, a straightway with a fixed obstacle, a straightaway with another vehicle moving in a fixed direction, a straightaway with another vehicle moving in an unpredictable pattern, a straightaway with two or more vehicles moving in a fixed direction, a straightaway with two or more vehicles moving in an unpredictable pattern, a curve with an approximately constant radius of curvature, a curve with an approximately constant radius of curvature and with a fixed obstacle in the roadway, a curve with an approximately constant radius of curvature with another vehicle moving in a fixed direction, a curve with an approximately constant radius of curvature with another vehicle moving in an unpredictable pattern, a curve with an approximately constant radius of curvature with two or more vehicles moving in a fixed direction, and a curve with an approximately constant radius of curvature with two or more vehicles moving in an unpredictable pattern

33. A method according to claim 31 wherein at least one of the vehicle state parameters indicated by the received reference data is determined based at least in part on the driving-task classification of one or more of the driving tasks comprising the driving trip.

34. A method according to claim 31 wherein the determined metric of comparison is determined based at least in part on the driving-task classification of one or more of the driving tasks comprising the driving trip.

35. A method according to claim 34 wherein at least one of the one or more driving tasks comprising the driving trip is classified as a straightaway;

wherein the received reference data comprises at least in part one or more of;

lane tracking data and steering wheel deviation data; and

wherein the determined metric of comparison comprises at least in part one or more of;

a lane tracking metric and a steering-wheel deviation metric.

36. A method according to claim 34 wherein at least one of the one or more driving tasks comprising the driving trip is classified as a curve;

wherein the received reference data comprises at least in part one or more of;

radius of curvature data, lane tracking data, and steering wheel deviation data; and

wherein the determined metric of comparison comprises at least in part one or more of;

radius-of-curvature deviation metric, a lane tracking metric, and a steering-wheel deviation metric.

37. A method according to claim 25 wherein the received measurement data is separated into one or more partitions based at least in part upon one or more driving tasks comprising the driving trip.

38. A method according to claim 25 wherein the received reference data is separated into one or more partitions based at least in part upon one or more driving tasks comprising the driving trip.

39. A method according to claim 25 wherein each of the at least one driving tasks is associated with at least one of the at least one determined metrics of comparison.

40. A method according to claim 1 further comprising:

receiving, at the computer, environmental-factor data, the environmental-factor data being indicative of one or more conditions extrinsic to the vehicle that may impact driver performance.

41. A method according to claim 40 wherein receiving environmental-factor data at the computer comprises receiving an environmental-factor signal at the computer, the environmental-factor signal being comprised of one or more time series functions of environmental factors, wherein the environmental factors correspond to conditions extrinsic to the vehicle that may impact driver performance.

42. A method according to claim 40 wherein the environmental factors comprise one or more of:

the presence of another vehicle, the presence of a pedestrian, the presence of an obstacle in the roadway, a climate condition, and a temperature.

43. A method according to claim 40 further comprising:

identifying one or more driving tasks based at least in part on the received environmental-factor data, the driving tasks being indicative of a segment of the driving trip with a common environmental factor.

44. A method according to claim 43 wherein the one or more identified driving tasks being indicative of a segment of the driving trip with a common environmental factor are further classified according to driving-task classification.

45. A method according to claim 4:

wherein receiving the measurement data at a computer comprises receiving a measurement signal at a computer, the measurement signal being comprised of one or more time series functions of vehicle state parameters corresponding to a driver operating a vehicle during a driving trip;

wherein receiving a reference signal at a computer comprises receiving a reference signal at a computer containing a reference signal portion corresponding to a driving task of interest; and

wherein determining, at the computer, a metric of comparison based at least in part on the received measurement signal and the received reference data comprises at least in part;

identifying within the received measurement signal at least one measurement signal portion corresponding to the driving task of interest;

calculating one or more measurement driving task characteristics by analyzing the identified at least one measurement signal portion corresponding to the driving task of interest;

identifying within the received reference signal at least one reference signal portion corresponding to the driving task of interest;

calculating one or more reference driving task characteristics by analyzing the identified at least one reference signal portion corresponding to the driving task of interest; and

determining a driving-task distance between the calculated reference driving task characteristics and the calculated measurement driving task characteristics, wherein the driving-task distance represents a discrepancy between the calculated reference driving task characteristics and the calculated driving task characteristics.

46. A method according to claim 45 wherein the determined driving-task distance between the calculated reference driving task characteristics and the calculated measurement driving task characteristics comprises one or more of:

a linear distance, a Euclidean distance, a weighted Euclidean distance, and an epsilon insensitive distance.

47. A method according to claim 5:

wherein receiving the measurement data comprises receiving one or more measurement driving task characteristics at the computer, the one or more measurement driving task characteristics each being indicative of one or more vehicle state parameters during execution of a driving task by the driver;

wherein receiving one or more reference driving task characteristics comprises receiving one or more reference driving task characteristics corresponding to a driving task of interest, and

wherein determining, at the computer, a metric of comparison based at least in part on the received measurement signal and the received reference data comprises at least in part;

identifying within the received measurement signal at least one measurement signal portion corresponding to the driving task of interest;

calculating one or more measurement driving task characteristics by analyzing the identified at least one measurement signal portion corresponding to the driving task of interest; and

determining a driving-task distance between the received reference driving task characteristics and the calculated measurement driving task characteristics, wherein the driving-task distance represents a discrepancy between the received reference driving task characteristics and the calculated driving task characteristics.

48. A method according to claim 47 wherein receiving one or more reference driving task characteristics corresponding to a driving task of interest comprises receiving the one or more reference driving task characteristics from a database.

49. A method according to claim 47 wherein the determined driving-task distance between the received reference driving task characteristics and the calculated measurement driving task characteristics comprises one or more of:

a linear distance, a Euclidean distance, a weighted Euclidean distance, and an epsilon insensitive distance.

50. A method according to claim 46 wherein the calculated reference driving task characteristic and the calculated measurement driving task characteristic are each comprised of a driving path.

51. A method according to claim 47 wherein the calculated reference driving task characteristic and the calculated measurement driving task characteristic are each comprised of a driving path.

52. A method according to claim 4:

wherein receiving the measurement data at a computer comprises receiving a measurement signal at a computer, the measurement signal being comprised of one or more time series functions of vehicle state parameters corresponding to a driver operating a vehicle during a driving trip; and

wherein determining, at the computer, a metric of comparison based at least in part on the received measurement signal and the received reference signal comprises at least in part;

determining a signal difference function between the received reference signal and the received measurement signal, the signal difference function representing a discrepancy between the received measurement signal and the received reference signal.

53. A method according to claim 52 wherein the signal difference function between the received reference signal and the received measurement signal comprises a vector difference between the received reference signal and the received measurement signal.

54. A method according to claim 52 wherein the signal difference function comprises a weighted vector difference between the received reference signal and the received measurement signal.

55. A method according to claim 52 wherein determining, at the computer, a metric of comparison based at least in part on the measurement signal and the reference signal further comprises at least in part:

determining a signal difference metric based at least in part on the determined signal difference function, the determined signal difference metric representing a quantity associated with a particular interval of the determined signal difference function.

56. A method according to claim 55 wherein the determined signal difference metric comprises a magnitude of the determined signal difference function evaluated on a particular interval.

57. A method according to claim 55 wherein the particular interval of the determined signal difference function comprises one or more of:

an interval of the determined signal difference function between two points in time, an interval of the determined signal difference function between two positions of the vehicle in space, an interval of the determined signal difference function corresponding to one or more driving tasks, and an interval of the determined signal difference function corresponding to one or more driving trips.

58. A method according to claim 1, wherein the at least one determined metric of comparison comprises two or more determined metrics of comparison, and further comprising:

determining, at the computer, a composite metric of comparison from the two or more determined metrics of comparison, the composite metric of comparison indicative of an assessment of the driver operating the vehicle relative to a standard of performance for two or more portions of the driving trip.

59. A method according to claim 58 wherein determining a composite metric of comparison comprises determining one or more of:

an average of the two or more metrics of comparison, a weighted average of the two or more metrics of comparison, a non-linear weighted average of the two or more metrics of comparison, and a weighted average followed by a non-linear functional reduction of the two or more metrics of comparison.

60. A computer program product embodied in a non-transitory medium and comprising computer-readable instructions that, when executed by a suitable computer, causes the computer to perform a method for assessing driver performance relative to a standard of performance, the method comprising;

receiving measurement data at a computer, the measurement data indicative of one or more vehicle state parameters corresponding to a driver operating the vehicle during a driving trip;

receiving reference data at the computer, the reference data indicative one or more vehicle state parameters corresponding to a standard of performance for the vehicle during at least a portion of the driving trip; and

determining, at the computer, a metric of comparison based at least in part on the received measurement signal and the received reference data, the metric of comparison indicative of an assessment of the driver operating the vehicle relative to the standard of performance.

61. A system for assessing driver performance relative to a standard of performance, the system comprising:

a measurement signal generator, the measurement signal generator being capable of generating a measurement signal that provides measured values for one or more parameters of a vehicle'"'"'s state while a driver is operating the vehicle on a driving trip;

a reference signal generator, the reference signal generator being capable of generating a reference signal that, for at least a portion of the driving trip, provides values for one or more parameters of a vehicle'"'"'s state while it is being driving in accordance with a standard of performance; and

a scorer, the scorer being capable of determining a metric of comparison between the reference signal and the measurement signal, the metric of comparison being indicative of how the driver executed the one or more driving tasks with the vehicle relative to the standard of performance,

wherein the scorer is communicably connected to the reference signal generator and the measurement signal generator such that the scorer receives the reference signal and the measurement signal.