Assessing asynchronous authenticated data sources for use in driver risk management

• US 10,049,408 B2
• Filed: 04/15/2015
• Issued: 08/14/2018
• Est. Priority Date: 04/15/2014
• Status: Active Grant

• Current Assignee: Speedgauge Incorporated (Pelmorex, Inc.)
• Original Assignee: Speedgauge Incorporated (Pelmorex, Inc.)
• Inventors: Carver, Christopher J., Wolsey, Kevin
• Primary Examiner(s): Patel, Jagdish
• Application Number:
  US14/687,099
• Publication Number:
  US 20150294422A1
• Time in Patent Office: 1,217 Days
• Field of Search: 705 4
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C

Abstract

A computer-implemented method includes receiving from a telemetric apparatus carried by a first vehicle an identity of an operator of the first vehicle and kinematic data characterizing movement and first location of the first vehicle. At least one weather condition associated with the first location is received from a source of environmental data. At least one of terrain geometry of the first location, road speed limit at the first location, vehicle-to-infrastructure (V2I) data generated by an instrument proximate the first location, and vehicle-to-vehicle (V2V) data generated by an instrument proximate the first location is received from a source of location-specific data. The data received by the first communication device is stored in a database. Data from the database is provided to at least one entity.

Claims

1. A computer-implemented method for dynamic mapping of trip safety, the method comprising:

storing information identifying a plurality of hazardous road condition zones within a geographic area;

receiving, from a telemetric device carried by a first vehicle during a trip, an identity of an operator of the first vehicle, kinematic data characterizing movement of the first vehicle, vehicle condition information characterizing a condition of the first vehicle, and a first location of the first vehicle as determined using a Global Navigation Satellite System (GNSS) receiver of the telemetric device, wherein the first location of the first vehicle is within the geographic area, wherein the trip is within the geographic area;

generating a driver risk index based on at least the identity of the operator of the first vehicle and the kinematic data characterizing the movement of the first vehicle;

generating a vehicle risk index based on at least the vehicle condition information;

identifying a first total risk for a first region of the geographic area based on the plurality of hazardous road condition zones, the driver risk index, and the vehicle risk index;

identifying a second total risk for a second region of the geographic area based on the plurality of hazardous road condition zones, the driver risk index, and the vehicle risk index;

producing a virtual map of the geographic area, wherein the virtual map identifies the first total risk for the first region of the geographic area, the second total risk for the second region of the geographic area, and the first location of the first vehicle;

calculating a trip risk for the trip based on at least the first total risk for the first region of the geographic area and the second total risk for the second region of the geographic area; and

providing driver feedback to the telemetric device, the driver feedback based on at least the trip risk and the virtual map.

2. The method of claim 1, wherein the kinematic data characterizing the movement of the first vehicle identifies one or more instances of speeding.

3. The method of claim 1, wherein the trip corresponds to a period between an engine of the first vehicle turning on and the engine of the first vehicle turning off.

4. The method of claim 1, further comprising authenticating the identity of the operator based on biometric data from a biometric sensor of the telemetric device.

5. The method of claim 1, further comprising:

receiving, from a second telemetric device carried by a second vehicle, kinematic data characterizing movement of the second vehicle; and

modifying the kinematic data characterizing the movement of the first vehicle based on the kinematic data characterizing the movement of the second vehicle.

6. The method of claim 1, wherein the plurality of hazardous road condition zones include one or more high-traffic zones.

7. The method of claim 1, further comprising enhancing accuracy of the first location of the first vehicle based on the driver risk index.

8. A system for dynamic mapping of trip safety, the system comprising:

a computer-readable medium storing instructions and storing information identifying a plurality of hazardous road condition zones within a geographic area;

a communication transceiver that receives, from a telemetric device carried by a first vehicle during a trip, an identity of an operator of the first vehicle, kinematic data characterizing movement of the first vehicle, vehicle condition information characterizing a condition of the first vehicle, and a first location of the first vehicle as determined using a Global Navigation Satellite System (GNSS) receiver of the telemetric device, wherein the first location of the first vehicle is within the geographic area, wherein the trip is within the geographic area; and

a processor, wherein execution of the instructions by the processor causes the processor to;

generate a driver risk index based on at least the identity of the operator of the first vehicle and the kinematic data characterizing the movement of the first vehicle,

generate a vehicle risk index based on the vehicle condition information,

identify a first total risk for a first region of the geographic area based on the plurality of hazardous road condition zones, the driver risk index, and the vehicle risk index,

identify a second total risk for a second region of the geographic area based on the plurality of hazardous road condition zones, the driver risk index, and the vehicle risk index,

produce a virtual map of the geographic area, wherein the virtual map identifies the first total risk for the first region of the geographic area, the second total risk for the second region of the geographic area, and the first location of the first vehicle,

calculate a trip risk for the trip based on at least the first total risk for the first region of the geographic area and the second total risk for the second region of the geographic area, and

provide driver feedback to the telemetric device, the driver feedback based on at least the trip risk and the virtual map.

9. The system of claim 8, wherein the kinematic data characterizing the movement of the first vehicle identifies one or more instances of speeding.

10. The system of claim 8, wherein the trip corresponds to a period between an engine of the first vehicle turning on and the engine of the first vehicle turning off.

11. The system of claim 8, wherein execution of the instructions by the processor causes the processor to authenticate the identity of the operator based on biometric data from a biometric sensor of the telemetric device.

12. The system of claim 8, wherein the communication transceiver receives, from a second telemetric device carried by a second vehicle, kinematic data characterizing movement of the second vehicle, wherein execution of the instructions by the processor causes the processor to modify the kinematic data characterizing the movement of the first vehicle based on the kinematic data characterizing the movement of the second vehicle.

13. The system of claim 8, wherein the plurality of hazardous road condition zones include one or more poor-weather zones.

14. The system of claim 8, wherein execution of the instructions by the processor causes the processor to enhance accuracy of the first location of the first vehicle based on the driver risk index.