Tracking and analysis of drivers within a fleet of vehicles

Patent metadata

Field	Value
Publication number	US-10013883-B2
Application number	US-201514746058-A
Country	US
Kind code	B2
Filing date	Jun 22, 2015
Priority date	Jun 22, 2015
Publication date	Jul 3, 2018
Grant date	Jul 3, 2018

Abstract

A system for tracking a fleet of vehicles and analyzing a driver associated with the fleet of vehicles. The system includes a monitoring engine for receiving information from a vehicle-tracking device associated with a vehicle of the fleet. A mapping engine displays, to a user, an icon indicative of an incident on a map. A video repository engine receives video data from a video camera associated with the vehicle and associates an incident video with the icon. A driver analysis engine obtains the incident information associated with a plurality of drivers and analyzes the incident information associated with the driver to generate a driver profile. The driver analysis engine compares the driver with corresponding drivers in the same and other fleets.

First claim

Having thus described various embodiments of the invention, what is claimed as new and desired to be protectected by letters Patent includes the following:

1. A system for tracking a fleet of vehicles, the system comprising:
a receiver configured for receiving information from a vehicle-tracking device associated with a vehicle of the fleet,
wherein the fleet of vehicles comprises a plurality of types of vehicles,
wherein at least a portion of said information is incident information that is associated with an incident detected by the vehicle-tracking device;
a display configured for displaying, to a user, an icon indicative of the incident on a map,
wherein the icon is located on the map in a location corresponding to an incident location,
wherein the receiver is further configured for receiving video data from a video camera associated with the vehicle; and
a processor configured to perform the following steps:
storing in a data store an incident video based upon at least a portion of said video data,
associating the incident video with said icon displayed on the map such that the user may select and view the incident video,
obtaining the incident information associated with a plurality of drivers,
analyzing the incident information associated with the plurality of drivers to generate a profile for the plurality of drivers,
wherein the profile for plurality of drivers is generated based at least in part on a type of vehicle for the plurality of drivers matching a type of vehicle of the driver;
analyzing the incident information associated with the driver to generate a driver profile,
recommending a driver specific training program to the driver based on the profile for the plurality of drivers and the driver profile.

2. The system of claim 1 , wherein the receiver receives the information associated with the incident substantially in real time.

3. The system of claim 1 , wherein the incident information associated with the incident includes geographic information related to the incident, actions taken by a driver of the vehicle, vehicle status associated with the incident, and the durational time of the incident.

4. The system of claim 1 ,
wherein the receiver receives the video data from the video camera upon the vehicle arriving at an upload location,
wherein the upload location is different than the incident location.

5. The system of claim 4 , wherein a recording device manager in the vehicle instructs the video camera to associate the incident information with the recorded video data prior to the vehicle arriving at the upload location.

6. The system of claim 1 ,
wherein the video data has associated orientation data,
wherein the mapping engine displays an orientation indication of the orientation data on the map.

7. The system of claim 6 , wherein the processor analyzes the video data to determine a set of video data that covers an inquiry location at an inquiry time based upon the orientation data and a set of location information for the video data.

8. The system of claim 7 , wherein the inquiry location is different than the incident location, such that the processor identifies video data that covers the inquiry location independently of whether said set of video data is associated with an incident.

9. A system for analyzing a driver associated with a fleet of vehicles, the system comprising:
a processor;
a receiver;
a display;
a non-transitory computer readable medium storing computer-executable instructions which, when executed by the processor, perform the steps of:
receiving information from a vehicle-tracking device associated with a vehicle of the fleet that is associated with the driver,
wherein the fleet of vehicles comprises a plurality of types of vehicles,
wherein at least a portion of said information is an incident information associated with an incident detected by the vehicle-tracking device;
determining a plurality of drivers including the driver, wherein each driver of the plurality of drivers has a shared type of vehicle
obtaining incident information associated with the plurality of drivers,
wherein the shared type of vehicles is a subset of the fleet of vehicles;
analyzing the incident information associated with the plurality of drivers to generate a profile for the plurality of drivers,
analyzing the incident information associated with the driver to generate a driver profile,
comparing the incident information associated with the driver with corresponding incident information for the plurality of drivers,
calculating a first sub-score based on the driver profile,
calculating a second sub-score based on the driver profile,
determining a score for the driver based on weighted values of the first sub-score and the second sub-score,
wherein the score is indicative of an amount of risk the driver takes while driving.

10. The system of claim 9 , wherein the plurality of drivers includes substantially all drivers associated with the fleet of vehicles.

11. The system of claim 1 , wherein a recommended driver training program is based at least in part on one of the sub-scores.

12. The system of claim 9 ,
wherein the plurality of drivers includes substantially all drivers associated with a vehicle of the shared type, in the fleet
wherein the incident information associated with the driver is further compared to incident information drivers of the subset of the fleet of vehicles.

13. The system of claim 9 , wherein the processor identifies at least one characteristic of the driver.

14. The system of claim 13 , wherein the identified characteristic of the driver is based upon the comparison of the driver profile for the driver with the corresponding driver profiles for the plurality of drivers.

15. The system of claim 13 , wherein the processor recommends a set of training for the driver based at least in part on the identified characteristic of the driver.

16. A system for tracking a fleet of vehicles and analyzing a driver associated with the fleet of vehicles, the system comprising:
a receiver for receiving information from a vehicle-tracking device associated with a vehicle of the fleet,
wherein the fleet of vehicles comprises a plurality of types of vehicles,
wherein at least a portion of said information is incident information that is associated with an incident detected by the vehicle-tracking device;
a display for displaying, to a user, an icon indicative of the incident on a map,
wherein the icon is located on the map in a location corresponding to an incident location;
the receiver further configured for receiving video data from a video camera associated with the vehicle,
storing in a data store an incident video based upon at least a portion of said video data,
wherein a processor for associating the incident video with said icon displayed on the map such that the user may select and view the incident video;
said receiver configured for obtaining the incident information associated with a plurality of drivers including substantially all peer drivers associated with a vehicle of the same type as the vehicle that is associated with the driver,
wherein each vehicles of the peer drivers belongs to the fleet of vehicles,
wherein the driver is one of said plurality of peer drivers,
the processor configured for analyzing the incident information associated with the plurality of drivers to generating a profile for the peer drivers,
said processor configured for analyzing the incident information associated with the driver to generate a driver profile,
said processor configured for comparing the

Assignees

• Digital Ally Inc

Inventors

• Farnham Iv James W
• Phillips Steven L
• Troxel Jason R
• Rumage John

Classifications

• G08G1/04

  using optical or ultrasonic detectors · CPC title

• G06F3/04817

  using icons (graphical or visual programming using iconic symbols G06F8/34) · CPC title

• G08G1/0112

  from the vehicle, e.g. floating car data [FCD] · CPC title

• G07C5/0825

  using optical means · CPC title

• G08G1/0133

  for classifying traffic situation · CPC title