Method and apparatus for evaluating driver performance and determining driver rewards

• US 10,430,745 B2
• Filed: 05/03/2017
• Issued: 10/01/2019
• Est. Priority Date: 05/03/2016
• Status: Active Grant

• Current Assignee: Azuga, Inc. (Bridgestone Corporation)
• Original Assignee: Azuga, Inc. (Bridgestone Corporation)
• Inventors: Rani, Ananth, Sabapathy, Ashwin, Kumar, Mahesh, Sharma, Akash
• Primary Examiner(s): Koneru, Sujay
• Application Number:
  US15/585,790
• Publication Number:
  US 20170323244A1
• Time in Patent Office: 881 Days
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B

Abstract

The present invention is directed towards a method for evaluating driver performance. In exemplary embodiments, the method comprises receiving driver activity associated with a driver of a vehicle in a fleet, determining a driver score based on predetermined criteria and generating and updating a driver profile based on the driver activity and evaluating the driver score to generate rewards for the driver and updating the driver profile accordingly.

Claims

1. A method for evaluating driver performance, the method comprising:

receiving driver activity associated with a driver of a vehicle in a fleet from a telematics module;

for each event associated with each driver activity, assigning a score, wherein the score for each event is determined based on a magnitude, duration, and spatio-temporal context of the event;

generating an aggregate event score for each event for the driver;

determining a safety score for the driver based on the aggregated event scores;

determining a fuel economy score for the driver;

determining a productivity score for the driver;

determining a composite driver score based on a weighted average of the safety score, the fuel economy score, and the productivity score and updating a driver profile based on the driver activity;

evaluating the driver score and one or more social media accounts of the driver to generate rewards for the driver and updating the driver profile accordingly;

comparing measured data from the driver activity with a predetermined criteria for expected driver performance;

determining deficiencies and proficiencies based on the comparison;

determining motivations of the driver according to the driver profile and the driver activity;

generating games according to the motivations, deficiencies and proficiencies of the driver; and

pushing the games to social media accounts associated with the driver.

2. The method of claim 1, further comprising:

generating driver specific behavioral targets based on the driver activity; and

generating incentives that induce drivers to increase a safety score.

3. The method of claim 1, further comprising:

determining driver scores for all drivers in the fleet;

generating rankings among drivers of the fleet based on the driver scores; and

generating the rewards based on the rankings.

4. The method of claim 1, wherein the driver activity comprises at least speed data, route data, rapid acceleration data, mobile device data, hard braking data, fuel use data, cornering data, general drive data and driving conditions.

5. The method of claim 4, wherein the driving conditions comprise at least weather conditions and road surface conditions.

6. The method of claim 1, further comprising:

generating a driver score card comprising the driver score and reward and incentive information.

7. The method of claim 1, further comprising:

selecting rewards for each driver based on metadata information regarding driver interests and shopping habits.

8. The method of claim 1, further comprising:

extracting driver information from the driver profile, the driver information comprising at least a driver schedule, driver interests and driver location;

calculating a schedule and frequency for granting the rewards to the driver; and

granting the rewards to the driver according to the schedule and frequency.

9. An apparatus for evaluating driver performance comprising:

one or more processors; and

a memory, coupled to the one or more processors, wherein the memory stores thereon computer executable instructions that when executed performs;

receiving driver activity associated with a driver of a vehicle in a fleet;

receiving driver activity associated with a driver of a vehicle in a fleet from a telematics module;

for each event associated with each driver activity, assigning a score, wherein the score for each event is determined based on a magnitude, duration, and spatio-temporal context of the event;

generating an aggregate event score for each event for the driver;

determining a safety score for the driver based on the aggregated event scores;

determining a fuel economy score for the driver;

determining a productivity score for the driver;

determining a composite driver score based on a weighted average of the safety score, the fuel economy score, and the productivity score and updating a driver profile based on the driver activity; and

evaluating the driver score and one or more social media accounts of the driver to generate rewards for the driver and updating the driver profile accordingly;

comparing measured data from the driver activity with a predetermined criteria for expected driver performance;

determining deficiencies and proficiencies based on the comparison;

determining motivations of the driver according to the driver profile and the driver activity;

generating games according to the motivations, deficiencies and proficiencies of the driver; and

pushing the games to social media accounts associated with the driver.

10. The apparatus of claim 9, wherein, when executed, the computer executable instructions further:

generate driver specific behavioral targets based on the driver activity; and

generate

incentives that induce drivers to increase a safety score.

11. The apparatus of claim 9, wherein, when executed, the computer executable instructions further:

select rewards for each driver based on metadata information regarding driver interests and shopping habits.

12. The apparatus of claim 9, wherein, when executed, the computer executable instructions further:

extract driver information from the driver profile, the driver information comprising at least a driver schedule, driver interests and driver location;

calculate a schedule and frequency for granting the rewards to the driver; and

grant the rewards to the driver according to the schedule and frequency.

13. A fleet management system comprising:

a plurality of telematics modules each installed in vehicle in a fleet of vehicles, the plurality of telematics modules reporting driver activity to the system; and

one or more computer systems comprising;

one or more processors; and

a memory for storing thereon computer executable instructions that when executed;

receive the driver activity for all drivers in the fleet of vehicles and transmitting fleet information;

for each event associated with each driver activity, assign a score, wherein the score for each event is determined based on a magnitude, duration, and spatio-temporal context of the event;

generate an aggregate event score for each event for each driver;

determine a safety score for each driver based on the aggregated event scores of the driver;

determine a fuel economy score for each driver;

determine a productivity score for each driver;

determine composite driver scores for all drivers based on a weighted average of the safety score, the fuel economy score, and the productivity score of each driver and generate driver profiles based on the driver activity; and

evaluate driver scores to generate rewards for the drivers and updating the driver profiles accordingly;

compare measured data from the driver activity with a predetermined criteria for expected driver performance; and

determine deficiencies and proficiencies based on the comparison;

determine motivations of the drivers according to the driver profile and the driver activity;

generate games according to the motivations, deficiencies and proficiencies of the driver; and

push the games to social media accounts associated with the drivers.

14. The system of claim 13, wherein, when executed, the computer executable instructions further:

generate driver specific behavioral targets based on the driver activity; and

generate

incentives that induce drivers to increase a safety score.

15. The system of claim 13, wherein, when executed, the computer executable instructions further:

select rewards for each driver based on metadata information regarding driver interests and shopping habits.

16. The system of claim 13, wherein, when executed, the computer executable instructions further:

extract driver information from the driver profile, the driver information comprising at least a driver schedule, driver interests and driver location;

calculate a schedule and frequency for granting the rewards to the drivers; and

grant the rewards to the drivers according to the schedule and frequency.

17. The system of claim 13, wherein, when executed, the computer executable instructions further:

determine driver scores for all drivers in the fleet of vehicles;

generate rankings among drivers of the fleet of vehicles based on the driver scores; and

generate the rewards based on the rankings.