IP Library Granted Patent US 8,996,234
Granted Patent B1
US 8,996,234 · App. 13/271,009 · Granted Mar 31, 2015

Driver performance determination based on geolocation

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Quick Facts
Patent No.
US 8,996,234
App. No.
13/271,009
Granted
Mar 31, 2015
Kind
B1
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 (39)

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.

Assignments (8)
NOTICE OF SUCCESSOR AGENT AND ASSIGNMENT OF SECURITY INTEREST (PATENTS) REEL/FRAME 043745/0567 Recorded Feb 28, 2020
From: HPS INVESTMENT PARTNERS, LLC
To: GUGGENHEIM CREDIT SERVICES, LLC
Reel/Frame 052050/0115 →
RELEASE OF SECURITY INTEREST Recorded Aug 31, 2017
From: U.S. BANK, NATIONAL ASSOCIATION
To: LYTX, INC.
Reel/Frame 043743/0648 →
SECURITY INTEREST Recorded Aug 31, 2017
From: LYTX, INC.
To: HPS INVESTMENT PARTNERS, LLC, AS COLLATERAL AGENT
Reel/Frame 043745/0567 →
SECURITY INTEREST Recorded Mar 15, 2016
From: LYTX, INC.
To: U.S. BANK NATIONAL ASSOCIATION, AS ADMINISTRATIVE AGENT
Reel/Frame 038103/0508 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME 032134/0756 Recorded Mar 15, 2016
From: WELLS FARGO BANK, NATIONAL ASSOCIATION
To: LYTX, INC.
Reel/Frame 038103/0328 →
SECURITY AGREEMENT Recorded Jan 29, 2014
From: LYTX, INC.; MOBIUS ACQUISITION HOLDINGS, LLC
To: WELLS FARGO BANK, NATIONAL ASSOCIATION, AS AGENT
Reel/Frame 032134/0756 →
CHANGE OF NAME Recorded Jan 14, 2014
From: DRIVECAM, INC.
To: LYTX, INC.
Reel/Frame 032019/0172 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 7, 2011
From: TAMARI, RONI; BOTNEN, JOSHUA DONALD
To: DRIVECAM, INC.
Reel/Frame 027348/0791 →