Context-based grading
A driving analysis server may be configured to receive vehicle operation data from mobile devices respectively disposed within the vehicles, and may use the data to group the vehicles into multiple groups. A driving pattern for each vehicle may be established and compared against a group driving pattern of its corresponding group to identify outliers. A driver score the outliers may be adjusted positively or negatively based on whether the outlier behaved in a manner more or less safe than its group. Further, unsafe driving events performed by the outlier that were the result of another vehicle's unsafe driving event may be ignored or positively accounted for in determining or adjusting the outlier's driver score.
1. A method comprising:
receiving telematics data from two or more vehicles;
determining a time of an accident based on the telematics data received from the two or more vehicles;
determining, from the two or more vehicles, a first vehicle that was involved in the accident;
determining, from the two or more vehicles, a second vehicle that was not involved in the accident and that was within a preset distance of the first vehicle;
determining whether the second vehicle performed a high-risk driving event based on the telematics data compared with at least a threshold during a timeframe prior to the time of the accident;
responsive to determining that the second vehicle performed the high-risk driving event during the timeframe prior to the accident, determining whether the high-risk driving event caused the accident;
adjusting, based on the determination the high-risk driving event caused the accident, a driver score of the second vehicle, wherein the driver score is an indication of a driving pattern of the second vehicle compared to a normalized group driving pattern representative of driving behavior of the two or more vehicles; and
outputting the driver score for display to a graphical user interface to a driver of the second vehicle.
2. The method of claim 1 , further comprising: determining that the accident occurred based on a shift in linear or rotational acceleration, or linear of two vehicles of the two or more vehicles.
3. The method of claim 1 , further comprising: determining that the accident occurred based on a shift in linear or angular velocity of two vehicles of the two or more vehicles.
4. The method of claim 1 , wherein an end time of the timeframe is the time of the accident.
5. The method of claim 1 , wherein the determining the second vehicle that was within the preset distance of the first vehicle is performed based on the telematics data received from the two or more vehicles.
6. The method of claim 1 , wherein the determining the second vehicle that was not involved in the accident comprises determining that the second vehicle did not collide with any object or vehicle.
7. The method of claim 1 , wherein the second vehicle is identified from image/video data received from the first vehicle.
8. A non-transitory computer readable media storing instructions that, executed by a computing device, cause the computing device to:
receive telematics data from two or more vehicles;
determine a time of an accident based on the telematics data received from the two or more vehicles;
determine, from the two or more vehicles, a first vehicle that was involved in the accident;
determine, from the two or more vehicles, a second vehicle that was not involved in the accident and that was within a preset distance of the first vehicle;
determine whether the second vehicle performed a high-risk driving event based on the telematics data compared with at least a threshold during a timeframe prior to the time of the accident;
responsive to determining that the second vehicle performed the high-risk driving event during the timeframe prior to the accident, determining whether the high-risk driving event caused the accident;
adjust, based on the determination the high-risk driving event caused the accident, a driver score of the second vehicle, wherein the driver score is an indication of a driving pattern of the second vehicle compared to a normalized group driving pattern representative of driving behavior of the two or more vehicles; and
output the driver score for display to a graphical user interface to a driver of the second vehicle.
9. The non-transitory computer readable medium of claim 8 , storing instructions that, executed by a computing device, cause the computing device to:
determine that the accident occurred based on a shift in linear or rotational acceleration, or linear of two vehicles of the two or more vehicles.
10. The non-transitory computer readable media of claim 8 , storing instructions that, executed by a computing device, cause the computing device to:
determine that the accident occurred based on a shift in linear or angular velocity of two vehicles of the two or more vehicles.
11. The non-transitory computer readable media of claim 8 , wherein an end time of the timeframe is the time of the accident.
12. The non-transitory computer readable media of claim 8 , wherein the determining that the second vehicle that was within the preset distance of the first vehicle is performed based on the telematics data received from the two or more vehicles.
13. The non-transitory computer readable media of claim 8 , wherein the determining the second vehicle that was not involved in the accident comprises determining that the second vehicle did not collide with any object or vehicle.
14. The non-transitory computer readable media of claim 8 , wherein the second vehicle is identified from image/video data received from the first vehicle.
15. An apparatus comprising:
one or more processors; and
memory storing instructions that, executed by the one or more processors, cause the apparatus to:
receive telematics data from two or more vehicles;
determine a time of an accident based on the telematics data received from the two or more vehicles;
determine, from the two or more vehicles, a first vehicle that was involved in the accident;
determine, from the two or more vehicles, a second vehicle that was not involved in the accident and that was within a preset distance of the first vehicle;
determine whether the second vehicle performed a high-risk driving event based on the telematics data compared with at least a threshold during a timeframe prior to the time of the accident;
responsive to determining that the second vehicle performed the high-risk driving event during the timeframe prior to the accident, determining whether the high-risk driving event caused the accident;
adjust, based on the determination the high-risk driving event caused the accident, a driver score of the second vehicle, wherein the driver score is an indication of a driving pattern of the second vehicle compared to a normalized group driving pattern representative of driving behavior of the two or more vehicles; and
output the driver score for display to a graphical user interface to a driver of the second vehicle.
16. The apparatus of claim 15 , the memory storing instructions that, executed by the one or more processors, cause the apparatus to:
determine that the accident occurred based on a shift in linear or rotational acceleration, or linear of two vehicles of the two or more vehicles.
17. The apparatus of claim 15 , the memory storing instructions that, executed by the one or more processors, cause the apparatus to:
determine that the accident occurred based on a shift in linear or angular velocity of two vehicles of the two or more vehicles.
18. The apparatus of claim 15 , wherein an end time of the timeframe is the time of the accident.
19. The apparatus of claim 15 , wherein the determining the second vehicle that was within the preset distance of the first vehicle is performed based on the telematics data received from the two or more vehicles.
20. The apparatus of claim 15 , wherein the determining the second vehicle that was not involved in the accident comprises determining that the second vehicle did not collide with any object or vehicle.