Driver risk assessment system and method employing automated driver log

• US 9,688,282 B2
• Filed: 12/15/2015
• Issued: 06/27/2017
• Est. Priority Date: 01/26/2009
• Status: Active Grant

• Current Assignee: Lytx, Inc.
• Original Assignee: Lytx, Inc.
• Inventors: Cook, Bryon, Etcheson, Jamie
• Primary Examiner(s): La, Anh V
• Application Number:
  US14/969,570
• Publication Number:
  US 20160101787A1
• Time in Patent Office: 560 Days
• Field of Search: 3404255, 340439, 340438, 340441, 701 1
• CPC Class Codes: B60W 2540/043 Identity of occupants
• CPC Class Codes: B60W 2552/15 Road slope, i.e. the inclination of a road segment in the longitudinal direction
• CPC Class Codes: B60W 2552/30 Road curve radius
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G07C 5/00 Registering or indicating the working of vehicles
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

A Driver Risk Assessment System and Method Employing Automated Driver Log. The system and method provides robust and reliable event scoring and reporting, while also optimizing data transmission bandwidth. The system includes onboard vehicular driving event detectors that record data related to detected driving events, vehicle condition and/or tasking, roadway environmental conditions, selectively store or transfer data related to said detected driving events. If elected, the onboard vehicular system will “score” a detected driving event, compare the local score to historical values previously stored within the onboard system, and upload selective data or data types if the system concludes that a serious driving event has occurred. The system may respond to independent user requests by transferring select data to said user at a variety of locations and formats. Furthermore, by tracking driver identity and other environmental factors, the system may be configured to generate a driver score, a driver log, and a dispatch log. The driver score can be normalized by consideration of environmental factors related to the strenuousness of the driver'"'"'s driving or the driving challenges experienced by the driver during his or her driving trip.

Claims

1. A system for driving score generation, comprising:

an interface configured to receive driving data comprising sensor data from one or more sensors on a vehicle; and

a processor configured to;

generate a drive event score for a driving trip of the vehicle based at least in part on the driving data;

normalize the drive event score based at least in part on one or more challenge factors; and

generate a driver score based at least in part on the normalized event score,

wherein the driver score comprises a numerical representation used to rank a driver based at least in part on the one or more challenge factors and an effect of the one or more challenge factors on the driving trip.

2. The system of claim 1, wherein the sensor data comprises one or more of the following:

a speed, a direction, a global positioning coordinate, a moisture level, or a temperature.

3. The system of claim 1, wherein the processor is configured to assign a risk identifier to the driving data prior to assigning the drive event score.

4. The system of claim 1, wherein the drive event score is based at least in part on one or more of the following:

an acceleration, a velocity, a video, or a sound.

5. The system of claim 1, wherein the driving data is uploaded via a cellular telephone network or a satellite network.

6. The system of claim 1, wherein large bandwidth data stream transmittal of the driving data is regulated by determining whether the driving data is to be transmitted.

7. The system of claim 1, wherein the driving data is uploaded upon manual or remote user request.

8. The system of claim 1, wherein the processor is further to generate a driving data log for the driver comprising a record of the driver'"'"'s driving trips and indicia regarding whether or not the driver'"'"'s driving trips are in compliance with a driving trip limitation.

9. The system of claim 1, wherein the processor is further to generate a dispatch driving data log for a dispatch group of the vehicle and one or more vehicles, wherein the dispatch driving data log comprises a record of driving trips associated with the vehicles of the dispatch group.

10. The system of claim 1, wherein the processor is further to identify the driver of the vehicle.

11. The system of claim 1, wherein the driver is identified using facial recognition for analyzing video of a driver'"'"'s face and comparing it to data in a facial data base.

12. The system of claim 1, wherein the driver is identified using a driver weight sensor for analyzing a driver'"'"'s weight and comparing it to data in a driver weight data base.

13. The system of claim 1, wherein the driver is identified using a driver biometric sensor for analyzing a driver'"'"'s biometric data and comparing it to data in a driver biometric data base.

14. The system of claim 1, wherein the driver is identified using a driver password.

15. The system of claim 1, the driver score is normalized based at least in part on a driver challenge factor, wherein the driver challenge factor comprises an incline condition, a curvaceousness condition, a density of other vehicles in a proximity to the vehicle during the driving trip, a vehicle type involved in the driving trip, a mileage amount, a trip duration, a road condition, or a vehicle tasking during the driving trip.

16. The system of claim 1, the driver score is normalized based at least in part on a driver challenge factor, wherein the driver challenge factor comprises an ambient light condition, existence of precipitation, a visibility, or an environmental condition.

17. The system of claim 1, wherein a trend for the driver is monitored using the driver score.

18. A method for driving score generation, comprising:

receiving a driving data comprising sensor data from one or more sensors on a vehicle;

generating, using a processor, a drive event score for a driving trip of the vehicle based at least in part on the driving data;

normalizing the drive event score based at least in part on one or more challenge factors; and

generating a driver score based at least in part on the normalized event score, wherein the driver score comprises a numerical representation used to rank a driver based at least in part on the one or more challenge factors and an effect of the one or more challenge factors on the driving trip.

19. A computer program product for driving score generation, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

receiving a driving data comprising sensor data from one or more sensors on a vehicle;

generating a drive event score for a driving trip of the vehicle based at least in part on the driving data;

normalizing the drive event score based at least in part on one or more challenge factors; and

generating a driver score based at least in part on the normalized event score, wherein the driver score comprises a numerical representation used to rank a driver based at least in part on the one or more challenge factors and an effect of the one or more challenge factors on the driving trip.