GEOSPATIAL DATA BASED ASSESSMENT OF DRIVER BEHAVIOR

• US 20130302757A1
• Filed: 07/13/2013
• Published: 11/14/2013
• Est. Priority Date: 12/02/2011
• Status: Active Grant

• Current Assignee: Spireon Incorporated (Solera Holdings Incorporated)
• Original Assignee: Spireon Incorporated (Solera Holdings Incorporated)
• Inventors: Pearlman, Richard Frank, Schantz, Daris Amon, Gertz, Steve, Walsh, Sean Micheal
• Granted Patent: US 10,255,824 B2
• Time in Patent Office: Days
• US Class Current: 434/65
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G09B 19/14 Traffic procedures, e.g. traffic regulations
• CPC Class Codes: H04Q 2209/86 Performing a diagnostic of the sensing device
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

A method of geospatial data based assessment driver behavior to improve driver safety and efficiency is disclosed. A method of a server device may comprise determining that a telemetry data is associated with a vehicle communicatively coupled with the server device and comparing the telemetry data with a driver objective data. A variance between the telemetry data and the driver objective data may then be determined. A performance score may be generated upon comparison of the variance to a threshold limit and/or the driver objective data. The performance score may be published along with other performance scores of other drivers in other vehicles also communicatively coupled with the server device to a reporting dashboard module. Elements of game theory may be implemented to create a team driving challenge and/or a driver performance program to generate the performance score to improve driver safety and efficiency for commercial fleets.

Claims

1. A method, comprising:

determining, through a processor of a server device, that a data is associated with a vehicle communicating with the server device;

comparing, through the processor, the data with a driver objective data associated with the vehicle;

determining, through the processor, a variance between the data and the driver objective data;

generating, through the processor, a performance score upon comparison of the variance to at least one of a threshold limit and the driver objective data; and

publishing the performance score along with other performance scores of other drivers in other vehicles also communicatively coupled with the server device to a reporting dashboard module.

2. The method of claim 1 further comprising comparing the performance score associable with the driver of the vehicle to an another performance score associable with a driver of an another vehicle.

3. The method of claim 1 wherein the data comprises at least one of a position of the vehicle, a velocity of the vehicle, a direction of the vehicle, an acceleration of the vehicle, a deceleration of the vehicle, and an engine ignition status of the vehicle.

4. The method of claim 1 wherein comparing the data with the driver objective data further comprises an algorithm that considers a number of key performance indicators associated with a behavior trait of the driver of the vehicle comprising at least one of:

a limit data to a posted speed limit at a particular geospatial location surrounding a present location of the vehicle as determined through a mapping data source having all posted speed limits in a geospatial vicinity, such that an actual driving behavior data is compared with the posted speed limit at the particular geospatial location to determine whether the variance is beyond the threshold limit;

a route plan data to a predetermined route plan within the particular geospatial location surrounding the present location of the vehicle as determined through the mapping data source having all route plans in the geospatial vicinity, such that the actual driving behavior data is compared with the route plan at the particular geospatial location to determine whether the variance is beyond the threshold limit;

an engine idling duration data to calculate the amount of time an engine of the vehicle is idle in the geospatial vicinity surrounding the present location of the vehicle, such that the actual driving behavior data is compared with the amount of time the engine of the vehicle is idle to determine whether the variance is beyond the threshold limit;

a maximum rate of acceleration of the vehicle data to measure the rates of acceleration of the vehicle in the geospatial vicinity surrounding the present location of the vehicle, such that the actual driving behavior data is compared with the maximum rate of acceleration of the vehicle to determine whether the variance is beyond the threshold limit; and

a maximum rate of deceleration of the vehicle data to measure the rates of deceleration of the vehicle in the geospatial vicinity surrounding the present location of the vehicle, such that the actual driving behavior data is compared with the maximum rate of deceleration of the vehicle to determine whether the variance is beyond the threshold limit.

5. A method, comprising:

utilizing, through a processor of a server device, a geospatial positioning device in a vehicle to receive a data associable with the vehicle on the server device that contains at least one driver objective data;

gathering, through the processor, a pattern of usage information associable with a driver of the vehicle from the data;

comparing, through the processor, the pattern of usage information associable with the driver of the vehicle to at least one driver objective data contained on the server device; and

generating, through the processor, a performance score associable with the driver of the vehicle based on the driver objective data.

6. The method of claim 5 further comprising comparing the performance score associable with the driver of the vehicle to an another performance score associable with a driver of an another vehicle.

7. The method of claim 5 wherein the data comprises at least one of a position of the vehicle, a velocity of the vehicle, a direction of the vehicle, an acceleration of the vehicle, and an engine ignition status of the vehicle.

8. The method of claim 5 wherein the driver objective data comprises at least one of a posted speed limit, maximum average speed, a route plan, an engine idling duration, a maximum rate of acceleration of the vehicle, a maximum rate of deceleration of the vehicle and a predetermined time approved for the vehicle'"'"'s use.

9. The method of claim 5 wherein the performance score is based on at least one driver objective data measured over a predetermined period of time.

10. The method of claim 5 further comprising assigning a master score to a team of multiple drivers.

11. A method, comprising:

utilizing, through a processor of a server device, a geospatial positioning device in a vehicle to receive a data associable with the vehicle on the server device that contains at least one driver objective data;

gathering, through the processor, a pattern of usage information indicative of at least one of a safety rating and an efficiency rating associable with the driver of the vehicle from the data;

comparing, through the processor, the pattern of usage information indicative of at least one of the safety rating and the efficiency rating and associable with the driver of the vehicle to at least one driver objective data contained on the server device;

generating, through the processor, a performance score indicative of at least one of the safety rating and the efficiency rating associable with the driver and based on the driver objective data;

further comparing, through the processor, the performance score indicative of at least one of the safety rating and the efficiency rating associable with the driver to a plurality of performance scores indicative of at least an another safety rating and an another efficiency rating associable with a plurality of drivers; and

ranking, through the processor, the plurality of drivers based on a comparison of the performance scores associable with the plurality of drivers.

12. The method of claim 11 wherein the data comprises at least one of a position of the vehicle, a velocity of the vehicle, a direction of the vehicle, an acceleration of the vehicle and an engine ignition status of the vehicle.

13. The method of claim 11 wherein the driver objective data comprises at least one of a posted speed limit, maximum average speed, a route plan, an engine idling duration, a maximum rate of acceleration of the vehicle, a maximum rate of deceleration of the vehicle and a predetermined time approved for the vehicle'"'"'s use.

14. The method of claim 11 wherein the performance score is based on at least one driver objective data measured over a predetermined period of time.

15. The method of claim 11 further comprising assigning a master score to a team of multiple drivers.