SYSTEMS AND METHODS OF DETERMINING EFFECTIVENESS OF VEHICLE SAFETY FEATURES

1 . A computer-implemented method for use in determining effectiveness of an update to a vehicle feature, the computer-implemented method comprising:

receiving, by one or more processors, information indicating an update to the vehicle feature was sent to vehicles having the vehicle feature;

constructing, by the one or more processors, a first dataset with data from before the update was sent to or implemented in the vehicles having the vehicle feature;

constructing, by the one or more processors, a second dataset with data from after the update was sent to or implemented in the vehicles having the vehicle feature;

calculating, by the one or more processors, an effectiveness score of the update based upon both the first dataset and the second dataset, wherein the calculating the effectiveness score comprises inputting the first dataset and the second dataset into a trained machine learning algorithm;

displaying, by the one or more processors, via a user interface, a search feature;

receiving, by the one or more processors, via the user interface, an indication of a vehicle;

retrieving, by the one or more processors, from a database, the effectiveness score based upon an association of the effectiveness score with the vehicle; and

displaying, via the one or more processors, via the user interface, the effectiveness score.

2 . The computer-implemented method of claim 1 , wherein the vehicle feature is a vehicle safety feature.

3 . The computer-implemented method of claim 1 , wherein:

the vehicle feature is a forward collision warning system; and

the update to the vehicle feature makes a sensitivity metric of the forward collision warning system more sensitive.

4 . The computer-implemented method of claim 1 , further comprising:

determining, by the one or more processors, vehicles that the update has been implemented in; and

wherein the first dataset is constructed from the data from the vehicles having the vehicle feature from before the update was implemented; and

wherein the second dataset is constructed from the data from the vehicles having the vehicle feature from after the update was implemented.

5 . The computer-implemented method of claim 1 , wherein the update to the vehicle feature comprises changes to button placement on a vehicle infotainment system.

6 . The computer-implemented method of claim 1 , further comprising:

receiving, by the one or more processors, insurance claims data; and

calculating, by the one or more processors, an increase or decrease in insurance premiums for vehicles having implemented the update, wherein the calculating of the increase or decrease is based upon: (i) the insurance claims data, and (ii) the effectiveness score of the update.

7 . The computer-implemented method of claim 1 , further comprising:

receiving, by the one or more processors, insurance claims data; and

calculating, by the one or more processors, an impact on: (i) cost of insurance claims, or (ii) amount of insurance claims for vehicles having implemented the update; and

wherein the calculating or the impact is based upon: (i) the insurance claims data, and (ii) the effectiveness score of the update.

8 . The computer-implemented method of claim 1 , wherein the information indicating the update to the vehicle is received from a vehicle manufacturer, a third party aggregator, an application of a computing device of vehicle operators, or a vehicle data repository.

9 . The computer-implemented method of claim 1 , wherein the calculating the effectiveness score comprises comparing the first dataset to the second dataset.

10 . A computer system for use in determining effectiveness of an update to a vehicle feature, the computer system comprising one or more processors configured to:

receive information indicating an update to the vehicle feature was sent to vehicles having the vehicle feature;

construct a first dataset with data from before the update was sent to or implemented in the vehicles having the vehicle feature;

construct a second dataset with data from after the update was sent to or implemented in the vehicles having the vehicle feature;

calculate an effectiveness score of the update by inputting both the first dataset and the second dataset into a trained machine learning algorithm;

display, via a user interface, a search feature;

receive, via the user interface, an indication of a vehicle;

retrieve, from a database, the effectiveness score based upon an association of the effectiveness score with the vehicle; and

display, via the user interface, the effectiveness score.

11 . The computer system of claim 10 , wherein the vehicle feature is a vehicle safety feature.

12 . The computer system of claim 10 , wherein:

the vehicle feature is a forward collision warning system; and

the update to the vehicle feature makes a sensitivity metric of the forward collision warning system more sensitive.

13 . The computer system of claim 10 , wherein the one or more processors are further configured to:

determine vehicles that the update has been implemented in; and

wherein the first dataset is constructed from the data from the vehicles having the vehicle feature from before the update was implemented; and

wherein the second dataset is constructed from the data from the vehicles having the vehicle feature from after the update was implemented.

14 . The computer system of claim 10 , wherein the update to the vehicle feature comprises changes to button placement on a vehicle infotainment system.

15 . The computer system of claim 10 , wherein the one or more processors are further configured to:

receive insurance claims data; and

calculate an increase or decrease in insurance premiums for vehicles having implemented the update, wherein the calculation of the increase or decrease is based upon: (i) the insurance claims data, and (ii) the effectiveness score of the update.

16 . A computer system for use in determining effectiveness of an update to a vehicle feature, the computer system comprising:

one or more processors; and

a non-transitory program memory communicatively coupled to the one or more processors and storing executable instructions that, when executed by the one or more processors, cause the computer system to:

receive information indicating an update to the vehicle feature was sent to vehicles having the vehicle feature;

construct a first dataset with data from before the update was sent to or implemented in the vehicles having the vehicle feature;

construct a second dataset with data from after the update was sent to or implemented in the vehicles having the vehicle feature;

calculate an effectiveness score of the update by inputting both the first dataset and the second dataset into a trained machine learning algorithm;

display, via a user interface, a search feature;

receive, via the user interface, an indication of a vehicle;

retrieve, from a database, the effectiveness score based upon an association of the effectiveness score with the vehicle; and

display, via the user interface, the effectiveness score.

17 . The computer system of claim 16 , wherein the vehicle feature is a vehicle safety feature.

18 . The computer system of claim 16 , wherein:

the vehicle feature is a forward collision warning system; and

the update to the vehicle feature makes a sensitivity metric of the forward collision warning system more sensitive.

19 . The computer system of claim 16 , wherein the executable instructions, when executed by the one or more processors, cause the computer system to:

determine vehicles that the update has been implemented in; and

wherein the first dataset is constructed from the data from the vehicles having the vehicle feature from before the update was implemented; and

wherein the second dataset is constructed from the data from the vehicles having the vehicle feature from after the update was implemented.

20 . The computer system of claim 16 , wherein the update to the vehicle feature comprises changes to button placement on a vehicle infotainment system.