Safety score based on compliance and driving

• US 10,311,749 B1
• Filed: 09/12/2013
• Issued: 06/04/2019
• Est. Priority Date: 09/12/2013
• Status: Active Grant

• Current Assignee: Lytx, Inc.
• Original Assignee: Lytx, Inc.
• Inventors: Kypri, Niki, Cook, Bryon, Botnen, Joshua Donald
• Primary Examiner(s): Utama, Robert J
• Application Number:
  US14/025,699
• Time in Patent Office: 2,091 Days
• Field of Search: 434 66
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G09B 19/162 Control of ships, boats, or other waterborne vehicles
• CPC Class Codes: G09B 19/165 Control of aircraft
• CPC Class Codes: G09B 19/167 Control of land vehicles

Abstract

A system for determining a safety score comprising an input interface and a processor. An input interface configured to receive compliance events from a database of compliance events and to receive detected driving events from a database of detected driving events. A processor configured to filter the compliance events and the detected driving events to generate a filtered list and to determine a safety score based at least in part on the filtered list.

Claims

1. A system for determining a safety score, comprising a processor configured to:

determine driving events associated with a driver, wherein the driving events are detected using a set of sensors, the set of sensors including a video recorder, an audio recorder, an accelerometer, a gyroscope, a vehicle state sensor, a Global Positioning System (GPS), an outdoor temperature sensor, a moisture sensor, a laser line tracker sensor, or any combination thereof, wherein the determining of the driving events comprises to;

analyze vehicle event data to create the driving events, the vehicle event data being generated by the set of sensors, the analyzing of the vehicle event data including to filter the vehicle event data to obtain a driving event, perform pattern recognition of the vehicle event data to obtain a driving event, use neural networks on the vehicle event data to obtain a driving event, or any combination thereof;

filter compliance events including a violation of a work shift regulation associated with the driver, the filtering including;

determining whether a first compliance event matches a filtered compliance event, wherein the filtered compliance event relates to an event type, an event severity, an event timing, or any combination thereof; and

in the event that the first compliance event matches the filtered compliance event, adding the first compliance event to a filtered list of events;

filter the driving events associated with the driver, the filtering including;

determining whether a first detected driving event matches a filtered driving event, wherein the filtered driving event relates to an event type, an event severity, an event timing, or any combination thereof; and

in the event that the first detected driving event matches the filtered driving event, adding the first detected driving event to the filtered list of events;

determine a safety score associated with the driver based at least in part on the filtered list of events, comprising to;

weigh a first event from the filtered list of events by a first weight to obtain a first weighted event;

weigh a second event from the filtered list of events by a second weight to obtain a second weighted event; and

combine the first weighted event and the second weighted event to obtain the safety score;

in the event that the safety score exceeds a predetermined threshold, determine that the driver is to be placed in a set of unsafe drivers that require coaching; and

output a recommendation based on the determination that the driver is to be placed in a set of unsafe drivers that require coaching.

2. The system of claim 1, wherein one or more of the driving events comprises a collision event.

3. The system of claim 1, wherein one or more of the driving events comprises a risky driving behavior.

4. The system of claim 3, wherein the risky driving behavior comprises one or more of the following:

speeding, reckless driving, cell phone use, texting, food and/or drink distractions, passenger distractions, non-cell phone electronic device distractions, not recognizing traffic conditions ahead, not properly scanning an intersection or roadway, not checking mirrors, following too close to a lead vehicle, falling asleep, drowsy driving, aggressive driving, and failure to obey a traffic control device.

5. The system of claim 3, wherein the risky driving behavior comprises one or more of the following:

hard braking, negotiating a corner or curve too fast, and rapid acceleration.

6. The system of claim 1, further comprising an output interface configured to provide a list of drivers and associated safety scores.

7. The system of claim 6, wherein the list of drivers is sorted by safety score.

8. The system of claim 6, wherein the list of drivers comprises a list of unsafe drivers.

9. The system of claim 6, wherein the list of drivers comprises a list of drivers requiring training.

10. The system of claim 1, wherein determining a weight associated with each detected driving event comprises looking up each driving event in a driving event weight table.

11. The system of claim 1, wherein determining a weight associated with each compliance event comprises looking up each compliance event in a compliance event weight table.

12. The system of claim 1, wherein determining a weight associated with each compliance event comprises determining a related detected driving event type and determining a weight associated with the related detected driving event type.

15. The system of claim 1, wherein a compliance event includes a violation of a legal regulation.

16. The system of claim 1, wherein the work shift regulation includes being on duty over a threshold length of time.

17. The system of claim 1, wherein the violation of a work shift regulation includes a failure to maintain a vehicle, wherein the failure to maintain a vehicle includes failing to maintain cargo of the vehicle in accordance with maintenance regulations.

18. The system of claim 1, wherein the violation of a work shift regulation is a violation reported by a law-enforcement agency.

19. The system of claim 1, further comprising an input interface configured to:

receive the compliance events from a database of compliance events of a compliance event server; and

receive the driving events from a database of detected driving events, wherein the driving events are based at least in part on sensor-captured data received from a vehicle event recorder, wherein the vehicle event recorder comprises a processor and an external video camera.

13. A method for determining a safety score, comprising:

determining driving events associated with a driver, wherein the driving events are detected using a set of sensors, the set of sensors including a video recorder, an audio recorder, an accelerometer, a gyroscope, a vehicle state sensor, a Global Positioning System (GPS), an outdoor temperature sensor, a moisture sensor, a laser line tracker sensor, or any combination thereof, wherein the determining of the driving events comprises;

analyzing vehicle event data to create the driving events, the vehicle event data being generated by the set of sensors, the analyzing of the vehicle event data including filtering the vehicle event data to obtain a driving event, performing pattern recognition of the vehicle event data to obtain a driving event, using neural networks on the vehicle event data to obtain a driving event, or any combination thereof;

filtering, using a processor, compliance events, including a violation of a work shift regulation associated with the driver, the filtering including;

determining whether a first compliance event matches a filtered compliance event, wherein the filtered compliance event relates to an event type, an event severity, an event timing, or any combination thereof; and

in the event that the first compliance event matches the filtered compliance event, adding the first compliance event to a filtered list of events;

filtering the driving events associated with the driver, the filtering including;

determining whether a first detected driving event matches a filtered driving event, wherein the filtered driving event relates to an event type, an event severity, an event timing, or any combination thereof; and

in the event that the first detected driving event matches the filtered driving event, adding the first detected driving event to the filtered list of events;

determining a safety score associated with the driver based at least in part on the filtered list of events, comprising;

weighing a first event from the filtered list of events by a first weight to obtain a first weighted event;

weighing a second event from the filtered list of events by a second weight to obtain a second weighted event; and

combining the first weighted event and the second weighted event to obtain the safety score;

in the event that the safety score exceeds a predetermined threshold, determining that the driver is to be placed in a set of unsafe drivers that require coaching; and

outputting a recommendation based on at least one of;

the determination that the driver is to be placed in a set of unsafe drivers that require coaching.

14. A computer program product for determining a safety score, the computer program product being embodied in a tangible non-transitory computer readable storage medium and comprising computer instructions for:

determining driving events associated with a driver, wherein the driving events are detected using a set of sensors, the set of sensors including a video recorder, an audio recorder, an accelerometer, a gyroscope, a vehicle state sensor, a Global Positioning System (GPS), an outdoor temperature sensor, a moisture sensor, a laser line tracker sensor, or any combination thereof, wherein the determining of the driving events comprises;

analyzing vehicle event data to create the driving events, the vehicle event data being generated by the set of sensors, the analyzing of the vehicle event data including filtering the vehicle event data to obtain a driving event, performing pattern recognition of the vehicle event data to obtain a driving event, using neural networks on the vehicle event data to obtain a driving event, or any combination thereof;

filtering compliance events, including a violation of a work shift regulation associated with the driver, the filtering including;

determining whether a first compliance event matches a filtered compliance event, wherein the filtered compliance event relates to an event type, an event severity, an event timing, or any combination thereof; and

in the event that the first compliance event matches the filtered compliance event, adding the first compliance event to a filtered list of events;

filtering the driving events associated with the driver, the filtering including;

determining whether a first detected driving event matches a filtered driving event, wherein the filtered driving event relates to an event type, an event severity, an event timing, or any combination thereof; and

in the event that the first detected driving event matches the filtered driving event, adding the first detected driving event to the filtered list of events;

determining a safety score associated with the driver based at least in part on the filtered list of events, comprising;

weighing a first event from the filtered list of events by a first weight to obtain a first weighted event;

weighing a second event from the filtered list of events by a second weight to obtain a second weighted event; and

combining the first weighted event and the second weighted event to obtain the safety score;

in the event that the safety score exceeds a predetermined threshold, determining that the driver is to be placed in a set of unsafe drivers that require coaching; and

outputting a recommendation based on the determination that the driver is to be placed in a set of unsafe drivers that require coaching.