Automobile risk assessment using average velocity differentials
Abstract
Systems and methods for using a vehicle's relative speed to determine an automobile insurance risk assessment rating are provided. According to certain aspects, an average velocity may be calculated, either from real-time or historical telematics data, for a group of vehicles traveling in the same direction on a roadway. Additionally, an average velocity differential for a target vehicle may be determined based upon the average velocity of the group of vehicles. Moreover, based upon the average velocity differential, an automobile insurance risk assessment rating for an individual may be determined which may cause a change in the individual's automobile insurance premium. Further, recommendations on how to improve the individual's automobile insurance risk assessment rating may be provided to the user via the user interface of an electronic device associated with the individual.
Claims
exact text as granted — not AI-modified1 .- 20 . (canceled)
21 . A computer-implemented method, comprising:
receiving, by one or more processors, a first set of telematics data associated with a first vehicle being operated at a location and under a first driving condition, the first set of telematics data indicating a velocity of the first vehicle; accessing, by the one or more processors, a second set of telematics data associated with one or more second vehicles being operated within a threshold distance of the location of the first vehicle and under a second driving condition satisfying a predetermined criteria associated with the first driving condition; determining, by the one or more processors, a calculated velocity based on the second set of telematics data associated with the one or more second vehicles; calculating, by the one or more processors, a velocity differential based upon a difference between the calculated velocity and the velocity of the first vehicle; and determining, by the one or more processors, a rating associated with the first vehicle based upon the velocity differential.
22 . The computer-implemented method of claim 21 , further comprising recording, by the one or more processors, a timestamp representing a time and date associated with when the first set of telematics data was generated, wherein the second set of telematics data is collected within a time period associated with the timestamp.
23 . The computer-implemented method of claim 21 , wherein the predetermined criteria associated with the first driving condition comprising one or more criteria on at least one selected from a group of a roadway, a geofence, a type of roadway, a road condition, a weather condition, a direction, a time of day, and a time of week.
24 . The computer-implemented method of claim 21 , wherein:
the second set of telematics data includes data indicative of one or more weather conditions experienced by the one or more second vehicles when the second set of telematics data was generated; and the determining a rating associated with the first vehicle further includes compensating for the one or more weather conditions.
25 . The computer-implemented method of claim 21 , wherein the first set of telematics data includes global navigation satellite system (GNSS) data indicating a real-time geographic location of the first vehicle and the second set of telematics data includes GNSS data indicating a real-time location of each second vehicle of the one or more second vehicles;
wherein the method further comprises determining, by the one or more processors, whether each second vehicle of the one or more second vehicles are within the threshold distance of the location of the first vehicle by comparing the real-time geographic location of the first vehicle to the real-time location of each second vehicle of the one or more second vehicles.
26 . The computer-implemented method of claim 21 , wherein:
the second set of telematics data includes global navigation satellite system (GNSS) data indicating a geographic location of each second vehicle of the one or more second vehicles; and the determining a calculated velocity further includes determining the calculated velocity based at least in part on the GNSS data.
27 . The computer-implemented method of claim 21 , further comprising:
calculating, by the one or more processors, an insurance premium based upon the rating associated with the first vehicle; transmitting, by the one or more processors, the insurance premium to an electronic device for presentation to an individual associated with the first vehicle; and providing, via the electronic device, a set of recommendations to improve the rating associated with the first vehicle and to lower the insurance premium.
28 . A server, comprising:
one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to:
receive a first set of telematics data associated with a first vehicle being operated at a location and under a first driving condition, the first set of telematics data indicating a velocity of the first vehicle;
access a second set of telematics data associated with one or more second vehicles being operated within a threshold distance of the location of the first vehicle and under a second driving condition satisfying a predetermined criteria associated with the first driving condition;
determine a calculated velocity based on the second set of telematics data associated with the one or more second vehicles;
calculate a velocity differential based upon a difference between the calculated velocity and the velocity of the first vehicle; and
determine a rating associated with the first vehicle based upon the velocity differential.
29 . The server of claim 28 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to record a timestamp representing a time and date associated with when the first set of telematics data was generated, wherein the second set of telematics data is collected within a time period associated with the timestamp.
30 . The server of claim 28 , wherein the predetermined criteria associated with the first driving condition comprising one or more criteria on at least one selected from a group of a roadway, a geofence, a type of roadway, a road condition, a weather condition, a direction, a time of day, and a time of week.
31 . The server of claim 28 , wherein:
the second set of telematics data includes data indicative of one or more weather conditions experienced by the one or more second vehicles when the second set of telematics data was generated; and the instructions, when executed by the one or more processors, that cause the one or more processors to determine the rating associated with the first vehicle further cause the one or more processors to determine the rating associated with the first vehicle by compensating for the one or more weather conditions.
32 . The server of claim 28 , wherein:
the first set of telematics data includes global navigation satellite system (GNSS) data indicating a real-time geographic location of the first vehicle and the second set of telematics data includes GNSS data indicating a real-time location of each second vehicle of the one or more second vehicles; and the instructions, when executed by the one or more processors, further cause the one or more processors to determine whether each second vehicle of the one or more second vehicles are within the threshold distance of the location of the first vehicle by comparing the real-time geographic location of the first vehicle to the real-time location of each second vehicle of the one or more second vehicles.
33 . The server of claim 28 , wherein:
the second set of telematics data includes global navigation satellite system (GNSS) data indicating a geographic location of each second vehicle of the one or more second vehicles; and the instructions, when executed by the one or more processors, further cause the one or more processors to determine the calculated velocity based at least in part on the GNSS data.
34 . The server of claim 28 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:
calculate an insurance premium based upon the rating associated with the first vehicle; transmit the insurance premium to an electronic device for presentation to an individual associated with the first vehicle; and provide a set of recommendations to improve the rating associated with the first vehicle and to lower the insurance premium.
35 . A tangible, non-transitory, computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:
receive a first set of telematics data associated with a first vehicle being operated at a location and under a first driving condition, the first set of telematics data indicating a velocity of the first vehicle; access a second set of telematics data associated with one or more second vehicles being operated within a threshold distance of the location of the first vehicle and under a second driving condition satisfying a predetermined criteria associated with the first driving condition; determine a calculated velocity based on the second set of telematics data associated with the one or more second vehicles; calculate a velocity differential based upon a difference between the calculated velocity and the velocity of the first vehicle; and determine a rating associated with the first vehicle based upon the velocity differential.
36 . The tangible, non-transitory, computer-readable medium of claim 35 , further including instructions that, when executed by the one or more processors, cause the one or more processors to record a timestamp representing a time and date associated with when the first set of telematics data was generated, wherein the second set of telematics data is collected within a time period associated with the timestamp.
37 . The tangible, non-transitory, computer-readable medium of claim 35 , wherein the predetermined criteria associated with the first driving condition comprising one or more criteria on at least one selected from a group of a roadway, a geofence, a type of roadway, a road condition, a weather condition, a direction, a time of day, and a time of week.
38 . The tangible, non-transitory, computer-readable medium of claim 35 , wherein:
the second set of telematics data includes data indicative of one or more weather conditions experienced by the one or more second vehicles when the second set of telematics data was generated; and the instructions that, when executed by the one or more processors, further cause the one or more processors to determine the rating associated with the first vehicle by compensating for the one or more weather conditions.
39 . The tangible, non-transitory, computer-readable medium of claim 35 , wherein:
the second set of telematics data includes global navigation satellite system (GNSS) data indicating a geographic location of each second vehicle of the one or more second vehicles; and the instructions that, when executed by the one or more processors, further cause the one or more processors to determine the calculated velocity based at least in part on the GNSS data.
40 . The tangible, non-transitory, computer-readable medium of claim 35 , further including instructions that, when executed by the one or more processors, cause the one or more processors to:
calculate an insurance premium based upon the rating associated with the first vehicle; transmit the insurance premium to an electronic device for presentation to an individual associated with the first vehicle; and provide a set of recommendations to improve the rating associated with the first vehicle and to lower the insurance premium.Join the waitlist — get patent alerts
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