Driver performance determination based on geolocation

• US 8,996,234 B1
• Filed: 10/11/2011
• Issued: 03/31/2015
• Est. Priority Date: 10/11/2011
• Status: Active Grant

• Current Assignee: Lytx, Inc.
• Original Assignee: Lytx, Inc.
• Inventors: Tamari, Roni, Botnen, Joshua Donald
• Primary Examiner(s): Tarcza, Thomas
• Assistant Examiner(s): Lee, Tyler J
• Application Number:
  US13/271,009
• Time in Patent Office: 1,267 Days
• Field of Search: 701/31.4, 701/123, 701/301, 340/439, 340/989, 705/4
• US Class Current: 701/29.3
• CPC Class Codes: B60W 2520/04 Vehicle stop
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2520/26 Wheel slip
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• 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
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles

Abstract

A system for determining driver performance based on vehicle geolocation comprises one or more onboard vehicle sensors, one or more processors, and a memory. The one or more onboard vehicle sensors are configured to detect driving data of a moving vehicle. The one or more processors are configured to determine driver performance based at least in part on the driving data. The driver performance is normalized for a vehicle geolocation. The memory is coupled to the one or more processors and configured to provide the processor with instructions.

Claims

1. A system for determining driver performance based on vehicle geolocation, comprising:

one or more onboard vehicle sensors configured to detect driving data of a moving vehicle; and

one or more processors configured to;

determine a plurality of vehicle geolocations, wherein determining the plurality of vehicle geolocations includes;

defining a plurality of dynamic geo-fenced areas based at least in part on one or more dynamic driving conditions that include at least one dynamic road condition, dynamic traffic condition, or dynamic weather condition; and

determine a final driver performance based at least in part on the driving data, including;

normalizing first and second driver performances based at least in part on a first and second dynamic geo-fenced areas associated with first and second vehicle geolocations, wherein normalizing the first and second driver performances for the first and second vehicle geolocations includes applying a drive performance evaluation criteria that is defined based at least in part on the dynamic driving conditions associated with the first and second vehicle geolocations, wherein the application of the drive performance evaluation criteria normalizes the effect of different levels of driving difficulty associated with different dynamic driving conditions within each distinct vehicle geolocation; and

determining a performance score used to determine the final driver performance, comprising;

weighing the normalized first driver performance relating to the first vehicle geolocation based on a first weight; and

weighing the normalized second driver performance relating to the second vehicle geolocation based on a second weight, the first weight being different from the second weight; and

a memory coupled to the one or more processors and configured to provide the processor with instructions.

2. The system of claim 1, wherein the driver performance measures driver safety performance.

3. The system of claim 1, wherein the driver performance measures driver fuel efficiency performance.

4. The system of claim 1, wherein the applied drive performance evaluation criteria is different from a second drive performance evaluation criteria defined for a third vehicle geolocation.

5. The system of claim 1, wherein the first vehicle geolocation is determined based at least in part on data from one or more of the following:

a satellite global positioning system data and a cellular location tracking data.

6. The system of claim 1, wherein the first vehicle geolocation is refined based on a sensor data.

7. The system of claim 6, wherein the sensor data comprises one or more of the following:

a vehicle speed, a vehicle direction, a road gradient, a detected number of lanes, a vehicle trajectory, a presence of a traffic signal, a presence of intersection, and a detected road name.

8. The system of claim 1, wherein the geo-fenced area is defined by a geo-boundary.

9. The system of claim 1, wherein determining the first vehicle geolocation further includes defining a static geo-fenced area based at least in part on one or more static driving conditions.

10. The system of claim 1, wherein the dynamic geo-fenced area defined based at least in part on one or more dynamic driving conditions is one of the following:

a severe weather zone and a traffic zone.

11. The system of claim 9, wherein the static geo-fenced area defined based at least in part on one or more static driving conditions is one of:

a school zone, a neighborhood zone, an intersection zone, a stop sign zone, and a traffic light zone.

12. A method for determining driver performance based on vehicle geolocation, comprising:

detecting driving data using one or more onboard vehicle sensors of a moving vehicle;

determining, using one or more processors, a plurality of vehicle geolocations, wherein determining the plurality of vehicle geolocations includes;

defining at least one dynamic geo-fenced area based at least in part on one or more dynamic driving conditions that include at least one dynamic road condition, dynamic traffic condition, or dynamic weather condition;

determining a final driver performance based at least in part on the driving data, including;

normalizing first and second driver performances based at least in part on first and second dynamic geo-fenced areas associated with first and second vehicle geolocations, wherein normalizing the first and second driver performances for the first and second vehicle geolocations includes applying a drive performance evaluation criteria that is defined based at least in part on the dynamic driving conditions associated with the first and second vehicle geolocations, wherein the application of the drive performance evaluation criteria normalizes the effect of different levels of driving difficulty associated with different dynamic driving conditions within each distinct vehicle geolocation; and

determining a performance score used to determine the final driver performance, comprising;

weighing the normalized first driver performance relating to the first vehicle geolocation based on a first weight; and

weighing the normalized second driver performance relating to the second vehicle geolocation based on a second weight, the first weight being different from the second weight.

13. A computer program product for determining driver performance based on vehicle geolocation, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

detecting driving data using one or more onboard vehicle sensors of a moving vehicle;

determining a plurality of vehicle geolocations, wherein determining the plurality of vehicle geolocations includes;

defining at least one dynamic geo-fenced area based at least in part on one or more dynamic driving conditions that include at least one dynamic road condition, dynamic traffic condition, or dynamic weather condition;

determining a final driver performance based at least in part on the driving data, including;

normalizing first and second driver performances the driver performance based at least in part on first and second dynamic geo-fenced areas associated with first and second vehicle geolocations, wherein normalizing the first and second driver performances for the first and second vehicle geolocations includes applying a drive performance evaluation criteria that is defined based at least in part on the dynamic driving conditions associated with the first and second vehicle geolocations, wherein the application of the drive performance evaluation criteria normalizes the effect of different levels of driving difficulty associated with different dynamic driving conditions within each distinct vehicle geolocation; and

determining a performance score used to determine the final driver performance, comprising;

weighing the normalized first driver performance relating to the first vehicle geolocation based on a first weight; and

weighing the normalized second driver performance relating to the second vehicle geolocation based on a second weight, the first weight being different from the second weight.