Vehicle telematics systems and methods
Described herein are methods and systems for generating and applying vehicle maintenance models to vehicle telematics data. A vehicle telematics analytics (VTA) computing device is configured to receive vehicle telematics data associated with operation of a subject vehicle, and apply the received vehicle telematics data to a vehicle maintenance model to determine whether the operation of the subject vehicle is better or worse than standard operation of like vehicles. The VTA computing device may adjust a maintenance cost and/or determine if a user of the vehicle is eligible for a reward based upon this determination. The VTA computing device is configured to transmit an itemized report to the user including the adjusted maintenance cost and/or the reward as well as one or more other vehicle costs.
1. A vehicle telematics analytics (VTA) computing device comprising a memory and a processor in communication with the memory, the processor programmed to:
generate a vehicle maintenance and charging model, the vehicle maintenance and charging model defining (i) standard operation of a plurality of vehicles based upon reference telematics data captured from a plurality of reference vehicles, and (ii) standard charging characteristics of the plurality of vehicles based upon the reference telematics data;
receive, from a user computing device of a user associated with a subject vehicle, first vehicle telematics data associated with operation of the subject vehicle, the first vehicle telematics data captured over a period of time including sensor data from device sensors associated with the subject vehicle;
using the first vehicle telematics data as input, execute the vehicle maintenance and charging model;
receive, as output from the vehicle maintenance and charging model, one or more scores indicating the user's operation of the subject vehicle is better than standard operation of like vehicles; and
automatically adjust a periodic maintenance cost associated with the subject vehicle to have an adjusted value less than an initial value by an amount proportional to at least one of a reduced maintenance schedule and a reduced burden on charging infrastructure, based upon the one or more scores output from the vehicle maintenance and charging model.
2. The VTA computing device of claim 1 , wherein the processor is further programmed to train the vehicle maintenance and charging model using the reference telematics data associated with the like vehicles as an initial training set.
3. The VTA computing device of claim 1 , wherein the processor is further programmed to:
receive second vehicle telematics data captured over the period of time using at least one of: (i) vehicle sensors disposed on the subject vehicle, (ii) external sensors disposed in an external computing device coupled to the subject vehicle, and (iii) device sensors disposed in the user computing device; and re-execute the vehicle maintenance and charging model using the first and second vehicle telematics data as input to receive an updated output therefrom.
4. The VTA computing device of claim 1 , wherein the processor is further programmed to transmit an itemized report to the user associated with the subject vehicle, the itemized report including a representation of whether operation of the subject vehicle is better or worse than standard operation of the like vehicles, an identification of the adjusted value of the periodic maintenance cost, and one or more other vehicle costs.
5. The VTA computing device of claim 4 , wherein the processor is further configured to:
receive, from the user computing device, a request for the itemized report; and
in response to receiving the request, execute retrieval of the first vehicle telematics data from at least one of the user computing device, the subject vehicle, or an external computing device coupled to the subject vehicle.
6. The VTA computing device of claim 1 , wherein the processor is further programmed to receive, as output from the vehicle maintenance and charging model, the one or more scores, each of the one or more scores respectively associated with acceleration, braking, cornering, speed, mileage, and location of the subject vehicle over the period of time.
7. The VTA computing device of claim 1 , wherein the processor is further programmed to:
query a geofencing database using the first vehicle telematics data to access off-road location data; and
determine an amount or percentage of time the subject vehicle was operated in an off-road location.
8. The VTA computing device of claim 1 , wherein the processor is further programmed to:
receive second vehicle telematics data captured over the period of time using device sensors disposed in user computing devices of other users operating the subject vehicle; and re-execute the vehicle maintenance and charging model using the first and second vehicle telematics data as input to receive an updated output therefrom.
9. A computer-implemented method for using vehicle telematics data to evaluate operation of a subject vehicle, the method being implemented by one or more processors, the method comprising:
generating, by the one or more processors, a vehicle maintenance and charging model, the vehicle maintenance and charging model defining (i) standard operation of a plurality of vehicles based upon reference telematics data captured from a plurality of reference vehicles, and (ii) standard charging characteristics of the plurality of vehicles based upon the reference telematics data;
receiving, by the one or more processors from a user computing device of a user associated with the subject vehicle, first vehicle telematics data associated with operation of the subject vehicle, the first vehicle telematics data captured over a period of time including sensor data from device sensors associated with the subject vehicle;
using the first vehicle telematics data as input, executing, by the one or more processors, the vehicle maintenance and charging model;
receiving, by the one or more processors as output from the vehicle maintenance and charging model, one or more scores indicating the user's operation of the subject vehicle is better than standard operation of like vehicles; and
automatically adjusting, by the one or more processors, a periodic maintenance cost associated with the subject vehicle to have an adjusted value less than an initial value by an amount proportional to at least one of a reduced maintenance schedule and a reduced burden on charging infrastructure, based upon the one or more scores output from the vehicle maintenance and charging model.
10. The computer-implemented method of claim 9 , further comprising training, by the one or more processors, the vehicle maintenance and charging model using the reference telematics data associated with the like vehicles as an initial training set.
11. The computer-implemented method of claim 9 , further comprising:
receiving, by the one or more processors, second vehicle telematics data captured over the period of time using at least one of: (i) vehicle sensors disposed on the subject vehicle, (ii) external sensors disposed in an external computing device coupled to the subject vehicle, and (iii) device sensors disposed in the user computing device; and
re-executing, by the one or more processors, the vehicle maintenance and charging model using the first and second vehicle telematics data as input to receive an updated output therefrom.
12. The computer-implemented method of claim 9 , further comprising transmitting, by the one or more processors, an itemized report to the user associated with the subject vehicle, the itemized report including a representation of whether the operation of the subject vehicle is better or worse than standard operation of the like vehicles, an identification of the adjusted value of the periodic maintenance cost, and one or more other vehicle costs.
13. The computer-implemented method of claim 12 , further comprising:
receiving, by the one or more processors from the user computing device, a request for the itemized report; and
in response to receiving the request, executing, by the one or more processors, retrieval of the first vehicle telematics data from at least one of the user computing device, the subject vehicle, or an external computing device coupled to the subject vehicle.
14. The computer-implemented method of claim 9 , wherein receiving the one or more scores comprises receiving each of the one or more scores respectively associated with acceleration, braking, cornering, speed, mileage, and location of the subject vehicle over the period of time.
15. The computer-implemented method of claim 9 , further comprising:
querying, by the one or more processors, a geofencing database using the first vehicle telematics data to access off-road location data; and
determining, by the one or more processors, an amount or percentage of time the subject vehicle was operated in an off-road location.
16. The computer-implemented method of claim 9 , further comprising:
receiving, by the one or more processors, second vehicle telematics data captured over the period of time using device sensors disposed in user computing devices of other users operating the subject vehicle; and re-executing, by the one or more processors, the vehicle maintenance and charging model using the first and second vehicle telematics data as input to receive an updated output therefrom.
17. A non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by a vehicle telematics data (VTA) computing device having at least one processor in communication with at least one memory, the computer-executable instructions cause the at least one processor to:
generate a vehicle maintenance and charging model, the vehicle maintenance and charging model defining (i) standard operation of a plurality of vehicles based upon reference telematics data captured from a plurality of reference vehicles, and (ii) standard charging characteristics of the plurality of vehicles based upon the reference telematics data;
receive, from a user computing device of a user associated with a subject vehicle, first vehicle telematics data associated with operation of the subject vehicle, the first vehicle telematics data captured over a period of time including sensor data from device sensors associated with the subject vehicle;
using the first vehicle telematics data as input, execute the vehicle maintenance and charging model;
receive, as output from the vehicle maintenance and charging model, one or more scores indicating the user's operation of the subject vehicle is better than standard operation of like vehicles; and
automatically adjust a periodic maintenance cost associated with the subject vehicle to have an adjusted value less than an initial value by an amount proportional to at least one of a reduced maintenance schedule and a reduced burden on charging infrastructure, based upon the one or more scores output from the vehicle maintenance and charging model.
18. The non-transitory computer-readable storage media of claim 17 , wherein the computer-executable instructions further cause the at least one processor to train the vehicle maintenance and charging model using the reference telematics data associated with the like vehicles as an initial training set.
19. The non-transitory computer-readable storage media of claim 17 , wherein the computer-executable instructions further cause the at least one processor to transmit an itemized report to the user associated with the subject vehicle, the itemized report including a representation of whether operation of the subject vehicle is better or worse than standard operation of the like vehicles, an identification of the adjusted value of the periodic maintenance cost, and one or more other vehicle costs.
20. The non-transitory computer-readable storage media of claim 19 , wherein the computer-executable instructions further cause the at least one processor to:
receive, from the user computing device, a request for the itemized report; and
in response to receiving the request, execute retrieval of the first vehicle telematics data from at least one of the user computing device, the subject vehicle, or an external computing device coupled to the subject vehicle.