SYSTEM AND METHOD FOR EVALUATING DRIVER BEHAVIOR

• US 20170053555A1
• Filed: 11/02/2015
• Published: 02/23/2017
• Est. Priority Date: 08/21/2015
• Status: Abandoned Application

• Current Assignee: Trimble Inc.
• Original Assignee: Trimble Navigation Limited (Trimble Inc.)
• Inventors: Angel, James W., Nalepka, Michael D.
• Application Number:
  US14/930,338
• Publication Number:
  US 20170053555A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• 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 5/0816 Indicating performance data, e.g. occurrence of a malfunction
• CPC Class Codes: G07C 5/085 using electronic data carriers
• CPC Class Codes: G09B 19/167 Control of land vehicles
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

Systems and methods provide for receiving, at a central office, data and a video clip associated with a predetermined vehicle event produced by a plurality of commercial vehicles each operated by a driver. Driver behavior scoring is generated at the central office based on the received data and on manual evaluation of the video clip, wherein the driver behavior scoring is consistent with driver behavior scoring conducted by a governmental inspection authority. Driver violation data, collected from and scored by the governmental inspection authority, is acquired at the central office. An output is produced comprising at least the driver behavior scoring and the driver violation scoring for each of the drivers of the plurality of commercial vehicles.

Claims

1. A method, comprising:

detecting, by an onboard computer coupled to one or more sensors and at least one camera, a predetermined vehicle event at each of a plurality of commercial vehicles each operated by a driver;

capturing, by the onboard computer of each vehicle, vehicle event data and a video clip in response to the predetermined vehicle event;

transmitting, by each of the vehicles, the vehicle event data and the video clip;

receiving, at a central office, the vehicle event data and the video clip from the vehicles;

generating, using a processor at the central office, driver behavior scoring algorithmically based on the received data and on manual evaluation of the video clip, wherein the processor is configured to detect violations in the received data and algorithmically apply severity ratings to score the detected violations, and wherein the severity ratings and the driver behavior scoring are consistent with driver behavior scoring conducted by a governmental inspection authority;

electronically acquiring, at the central office, driver violation data collected and scored by the governmental inspection authority; and

producing, using the processor, an output comprising at least the driver behavior scoring and the driver violation scoring for each of the drivers of the plurality of commercial vehicles.

2. The method of claim 1, further comprising:

generating, at the central office, a speed score algorithmically using the received data, the speed score consistent with speed scoring conducted by the governmental inspection authority;

wherein the output comprises at least the driver behavior scoring, the driver violation scoring, and the speed score for each of the drivers of the plurality of commercial vehicles.

3. The method of claim 1, further comprising:

generating, at the central office, an hours of service (HOS) score algorithmically using the received data, the HOS score consistent with HOS scoring conducted by the governmental inspection authority;

wherein the output comprises at least the driver behavior scoring, the driver violation scoring, and the HOS score for each of the drivers of the plurality of commercial vehicles.

4. The method of claim 1, further comprising:

generating, at the central office, a speed score algorithmically using the received data, the speed score consistent with speed scoring conducted by the governmental inspection authority; and

generating, at the central office, an hours of service (HOS) score algorithmically using the received data, the HOS score consistent with HOS scoring conducted by the governmental inspection authority;

wherein the output comprises at least the driver behavior scoring, the driver violation scoring, the speed score, and the HOS score for each of the drivers of the plurality of commercial vehicles.

5. The method of claim 1, further comprising:

computing average driver behavior scoring across a fleet of the commercial vehicles;

wherein the output comprises at least the driver behavior scoring and the fleet average driver behavior scoring.

6. The method of claim 1, wherein:

generating driver behavior scoring comprises generating a driver behavior score for each of a plurality of driver behavior categories; and

each of the driver behavior categories has a predetermined severity rating consistent with a severity rating established by the governmental inspection authority.

7. The method of claim 1, wherein generating driver behavior scoring comprises:

presenting a plurality of driver behavior categories on a user interface, each of the driver behavior categories having a predetermined severity rating consistent with a severity rating established by the governmental inspection authority;

detecting a user input for one or more of the driver behavior categories indicating presence of driver behavior consistent with the one or more driver behavior categories; and

computing a driver behavior score for each driver behavior category based on the user input and the predetermined severity rating.

8. The method of claim 7, further comprising computing a total driver behavior score as a sum of the driver behavior scoring for the driver behavior categories.

9. The method of claim 7, further comprising:

algorithmically adjusting the driver behavior scoring based on the age of a violation for which the driver behavior scoring is computed.

10. The method of claim 1, wherein generating driver behavior scoring comprises:

presenting a plurality of driver behavior categories on a user interface, each of the driver behavior categories having a predetermined severity rating consistent with a severity rating established by the governmental inspection authority;

detecting a user input for one or more of the driver behavior categories indicating presence of driver behavior in the video clip consistent with the one or more driver behavior categories; and

computing a driver behavior score for each driver behavior category based on the user input and the predetermined severity rating.

11. A method, comprising:

detecting, by an onboard computer coupled to one or more sensors, a predetermined vehicle event at each of a plurality of commercial vehicles each operated by a driver;

capturing, by the onboard computer of each vehicle, vehicle event data in response to the predetermined vehicle event;

transmitting, by each of the vehicles equipped with a transceiver, the vehicle event data;

receiving, at a central office, the vehicle data from the vehicles;

generating, using a processor at the central office, driver behavior scoring algorithmically based the received data, wherein the processor is configured to detect violations in the received data and algorithmically apply severity ratings to score the detected violations, and wherein the severity ratings and the driver behavior scoring are consistent with driver behavior scoring conducted by a governmental inspection authority;

electronically acquiring, at the central office, driver violation data collected and scored by the governmental inspection authority; and

producing, using the processor, an output comprising at least the driver behavior scoring and the driver violation scoring for each of the drivers of the plurality of commercial vehicles.

12. The method of claim 11, further comprising:

generating, at the central office, a speed score algorithmically using the received data, the speed score consistent with speed scoring conducted by the governmental inspection authority; and

generating, at the central office, an hours of service (HOS) score algorithmically using the received data, the HOS score consistent with HOS scoring conducted by the governmental inspection authority;

wherein the output comprises at least the driver behavior scoring, the driver violation scoring, the speed score, and the HOS score for each of the drivers of the plurality of commercial vehicles.

13. A system for use with a plurality of commercial vehicles each operated by a driver, comprising:

a vehicle system provided at each vehicle, the vehicle system comprising an onboard computer coupled to one or more sensors, at least one camera, and a transceiver, the vehicle system configured to capture vehicle event data and a video clip in response to detecting a predetermined vehicle event and to transmit the vehicle event data and the video clip via the transceiver;

a server configured to receive the vehicle event data and the video clip from the vehicles, the server also configured to receive driver violation data collected and scored by a governmental inspection authority;

one or more scoring templates for associating driver violations with severity ratings consistent with severity ratings established by the governmental inspection authority;

one or more scoring modules configured to algorithmically generate driver behavior scoring using the received data and the one or more scoring templates, wherein the algorithmically generated driver behavior scoring is consistent with driver behavior scoring conducted by the governmental inspection authority;

a manual evaluation station configured to facilitate manually generated driver behavior scoring using the video clip and the one or more scoring templates, wherein the manually generated driver behavior scoring is consistent with driver behavior scoring conducted by the governmental inspection authority; and

a processor configured to produce an output comprising at least the driver behavior scoring and the driver violation scoring for each of the drivers of the plurality of commercial vehicles.

14. The system of claim 13, wherein:

the one or more scoring modules comprises a speed scoring module configured to algorithmically generate a speed score using the received data and a speed scoring template; and

the processor is configured to produce an output comprising at least the driver behavior scoring, the driver violation scoring, and the speed score for each of the drivers of the plurality of commercial vehicles.

15. The system of claim 13, wherein:

the one or more scoring modules comprises an hours of service (HOS) scoring module configured to algorithmically generate an HOS score using the received data and an HOS scoring template; and

the processor is configured to produce an output comprising at least the driver behavior scoring, the driver violation scoring, and the HOS score for each of the drivers of the plurality of commercial vehicles.

16. The system of claim 13, wherein:

the one or more scoring modules comprises a speed scoring module configured to algorithmically generate a speed score using the received data and a speed scoring template;

the one or more scoring modules comprises an hours of service (HOS) scoring module configured to algorithmically generate an HOS score using the received data and an HOS scoring template; and

the processor is configured to produce an output comprising at least the driver behavior scoring, the driver violation scoring, the speed score, and the HOS score for each of the drivers of the plurality of commercial vehicles.

17. The system of claim 13, wherein the processor is configured to:

compute average driver behavior scoring across a fleet of the commercial vehicles; and

produce the output to include the fleet average driver behavior scoring.

18. The system of claim 13, wherein:

the manual evaluation station includes a user interface comprising a display and an input device;

a selected scoring template is configured to be presented on the display and to receive a user input via the input device indicating observance of a driver violation; and

the manual evaluation station is configured to compute a driver behavior score based on the user input and the severity rating associated with the indicated driver violation.

19. A system for use with a plurality of commercial vehicles each operated by a driver, comprising:

a vehicle system provided at each vehicle, the vehicle system comprising an onboard computer coupled to one or more sensors, and a transceiver, the vehicle system configured to capture vehicle event data in response to detecting a predetermined vehicle event and to transmit the vehicle event data via the transceiver;

a server configured to receive the vehicle data from the vehicles, the server also configured to receive driver violation data collected and scored by a governmental inspection authority;

one or more scoring templates for associating driver violations with severity ratings consistent with severity ratings established by the governmental inspection authority;

one or more scoring modules configured to algorithmically generate driver behavior scoring using the received data and the one or more scoring templates, wherein the algorithmically generated driver behavior scoring is consistent with driver behavior scoring conducted by the governmental inspection authority; and

a processor configured to produce an output comprising at least the driver behavior scoring and the driver violation scoring for each of the drivers of the plurality of commercial vehicles.

20. The system of claim 19, wherein:

the one or more scoring modules comprises a speed scoring module configured to algorithmically generate a speed score using the received data and a speed scoring template;

the one or more scoring modules comprises an hours of service (HOS) scoring module configured to algorithmically generate an HOS score using the received data and an HOS scoring template; and

the processor is configured to produce an output comprising at least the driver behavior scoring, the driver violation scoring, the speed score, and the HOS score for each of the drivers of the plurality of commercial vehicles.