System and method of reducing vehicle collisions based on driver risk groups
Systems and methods for reducing vehicle collisions based on driver risk groups are provided. A plurality of vehicle operators may be classified into a driver risk group based on one or more attributes (e.g., location, workplace, school, demographic, hobby, interest, etc.) shared by the plurality of vehicle operators. Vehicle sensor data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data, etc.) associated with each of the plurality of vehicle operators of the driver risk group may be analyzed. Based on the analysis of the vehicle sensor data, one or more indicia of safe driving behavior associated with the driver risk group may be identified. In response to a third-party query regarding a vehicle operator in the driver risk group, an indication of the safe driving behavior associated with the driver risk group may be provided to the third party.
1. A computer-implemented method of reducing vehicle collisions based on driver risk groups, the method comprising:
classifying, by one or more processors, a first plurality of vehicle operators into a first driver risk group based on one or more attributes shared by the first plurality of vehicle operators;
classifying, by the one or more processors, a second plurality of vehicle operators into a second driver risk group based on one or more attributes shared by the second plurality of vehicle operators, the second plurality of vehicle operators being different from the first plurality of vehicle operators;
providing, by the one or more processors, a safe driving group challenge to the first plurality of vehicle operators and the second plurality of vehicle operators;
analyzing, by the one or more processors, vehicle sensor data associated with each vehicle operator of the first plurality of vehicle operators of the first driver risk group to determine a first group challenge performance associated with the first plurality of vehicle operators;
analyzing, by the one or more processors, vehicle sensor data associated with each vehicle operator of the second plurality of vehicle operators of the second driver risk group to determine a second group challenge performance associated with the second plurality of vehicle operators;
identifying, by the one or more processors, based at least in part upon the analysis of the vehicle sensor data, one or more indicia of a safe driving behavior associated with the first driver risk group; and
providing, by the one or more processors, in response to a third-party query regarding a vehicle operator in the first driver risk group, an indication of the safe driving behavior associated with the first driver risk group;
wherein the identifying one or more indicia further includes identifying the one or more indicia based at least in part upon comparing the first group challenge performance and the second group challenge performance.
2. The computer-implemented method of claim 1 , wherein the one or more attributes shared by the first plurality of vehicle operators includes one or more of: a location-related attribute; a workplace-related attribute; a school-related attribute; a demographic attribute; or a hobby-related or interest-related attribute.
3. The computer-implemented method of claim 1 , wherein the vehicle sensor data associated with the operator of the vehicle includes one or more of: speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, and/or seatbelt use data.
4. The computer-implemented method of claim 1 , wherein identifying the one or more indicia of the safe driving behavior associated with the first driver risk group further includes comparing (i) the vehicle sensor data associated with the first driver risk group and (ii) second vehicle sensor data associated with the second driver risk group.
5. The computer-implemented method of claim 1 , wherein identifying the one or more indicia of the safe driving behavior associated with the first driver risk group further includes identifying a number or a percentage of vehicle operators of the first driver risk group who are associated with the vehicle sensor data indicative of the safe driving behavior.
6. The computer-implemented method of claim 1 , wherein identifying the one or more indicia of the safe driving behavior associated with the first driver risk group further includes identifying a frequency with which the vehicle sensor data indicates a safe driving behavior.
7. A computer system for reducing vehicle collisions based on driver risk groups, the computer system comprising:
one or more processors; and
one or more memories storing instructions that, when executed by the one or more processors, cause the computer system to:
classify a first plurality of vehicle operators into a first driver risk group based on one or more attributes shared by the first plurality of vehicle operators, wherein the one or more attributes shared by the first plurality of vehicle operators includes one or more of: a location-related attribute; a hobby-related attribute, or an interest-related attribute;
classify a second plurality of vehicle operators into a second driver risk group based on one or more attributes shared by the second plurality of vehicle operators, the second plurality of vehicle operators being different from the first plurality of vehicle operators;
provide a safe driving group challenge to the first plurality of vehicle operators and a second plurality of vehicle operators associated with a second driver risk group;
analyze vehicle sensor data associated with each vehicle operator of the first plurality of vehicle operators of the first driver risk group to determine a first group challenge performance associated with the first plurality of vehicle operators;
analyze vehicle sensor data associated with each vehicle operator of the second plurality of vehicle operators of the second driver risk group to determine a second group challenge performance associated with the second plurality of vehicle operators;
identify, based at least in part upon the analysis of the vehicle sensor data, one or more indicia of a safe driving behavior associated with the first driver risk group; and
provide, in response to a third-party query regarding a vehicle operator in the first driver risk group, an indication of the safe driving behavior associated with the first driver risk group;
wherein the identify one or more indicia further includes identify the one or more indicia based at least in part upon comparing the first group challenge performance and the second group challenge performance.
8. The computer system of claim 7 , wherein the one or more attributes shared by the first plurality of vehicle operators further includes one or more of: a workplace-related attribute; a school-related attribute; or a demographic attribute.
9. The computer system of claim 7 , wherein the vehicle sensor data associated with the operator of the vehicle includes one or more of: speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, and/or seatbelt use data.
10. The computer system of claim 7 , wherein the identify the one or more indicia of the safe driving behavior associated with the driver risk group further includes compare (i) the vehicle sensor data associated with the first driver risk group and (ii) second vehicle sensor data associated with the second driver risk group.
11. The computer system of claim 7 , wherein identify the one or more indicia of the safe driving behavior associated with the driver risk group further includes identify a number or percentage of vehicle operators of the first driver risk group who are associated with vehicle sensor data indicative of the safe driving behavior.
12. The computer system of claim 7 , wherein identify the one or more indicia of the safe driving behavior associated with the first driver risk group further includes identify a frequency with which the vehicle sensor data indicates the safe driving behavior.
13. A computer-readable storage medium having stored thereon a set of instructions for reducing vehicle collisions based on driver risk groups, executable by a processor, the instructions comprising instructions for:
classifying a first plurality of vehicle operators into a first driver risk group based on one or more attributes shared by the first plurality of vehicle operators;
classifying a second plurality of vehicle operators into a second driver risk group based on one or more attributes shared by the second plurality of vehicle operators, the second plurality of vehicle operators being different from the first plurality of vehicle operators;
providing a safe driving group challenge to the first plurality of vehicle operators and a second plurality of vehicle operators associated with a second driver risk group;
analyzing vehicle sensor data associated with each vehicle operator of the first plurality of vehicle operators of the first driver risk group to determine a first group challenge performance associated with the first plurality of vehicle operators;
analyzing vehicle sensor data associated with each vehicle operator of the second plurality of vehicle operators of the second driver risk group to determine a second group challenge performance associated with the second plurality of vehicle operators;
identifying, based on the analysis of the vehicle sensor data, one or more indicia of a safe driving behavior associated with the first driver risk group; and
providing, in response to a third-party query regarding a vehicle operator in the first driver risk group, an indication of the safe driving behavior associated with the first driver risk group;
wherein the identifying one or more indicia further includes identifying the one or more indicia based at least in part upon comparing the first group challenge performance and the second group challenge performance.
14. The computer-readable storage medium of claim 13 , wherein the one or more attributes shared by the first plurality of vehicle operators includes one or more of: a location-related attribute; a workplace-related attribute; a school-related attribute; a demographic attribute; or a hobby-related or interest-related attribute.
15. The computer-readable storage medium of claim 13 , wherein the vehicle sensor data associated with the operator of the vehicle includes one or more of: speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, and/or seatbelt use data.
16. The computer-readable storage medium of claim 13 , wherein identifying the one or more indicia of the safe driving behavior associated with the first driver risk group further includes comparing (i) the vehicle sensor data associated with the first driver risk group and (ii) second vehicle sensor data associated with the second driver risk group.
17. The computer-readable storage medium of claim 13 , wherein identifying the one or more indicia of the safe driving behavior associated with the first driver risk group further includes identifying a number or percentage of vehicle operators of the first driver risk group who are associated with vehicle sensor data indicative of the safe driving behavior.
18. The computer-readable storage medium of claim 13 , wherein identifying the one or more indicia of the safe driving behavior associated with the first driver risk group further includes identifying a frequency with which the vehicle sensor data indicates the safe driving behavior.