Systems and methods of determining effectiveness of vehicle safety features
AssigneeState Farm Mutual Automobile Insurance Company
InventorsJaime Skaggs, Jody Ann Thoele, Angela Glusick
Life of this patent
Estimating the term…
Abstract
The following relates generally to determining effectiveness of an update to a vehicle feature. In some embodiments, information indicating an update to a vehicle feature, and accident record information may be received. A first dataset from before the update was implemented in the vehicle, and a second dataset from after the update was implemented in the vehicle may then be constructed. An effectiveness score may then be calculated based upon the first and second datasets.
Claims20
A computer-implemented method for use in determining effectiveness of an update to a vehicle feature, the method comprising:
- obtaining, by one or more processors, vehicle data from a vehicle data repository, the vehicle data comprising a vehicle feature, and the vehicle feature being stored in an original equipment manufacturer (OEM)-agnostic terminology;
- receiving, by the 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;
- and
- calculating, by the one or more processors, an effectiveness score of the update based upon both the first data set and the second dataset, wherein the calculating the effectiveness score comprises inputting the first dataset and the second dataset into a machine learning algorithm trained to calculate effectiveness scores of updates.
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:
- obtain vehicle data from a vehicle data repository, the vehicle data comprising a vehicle feature, and the vehicle feature being stored in an original equipment manufacturer (OEM)-agnostic terminology;
- 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;
- and
- calculate an effectiveness score of the update by inputting both the first data set and the second dataset into a machine learning algorithm trained to calculate effectiveness scores of updates.
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:
- obtain vehicle data from a vehicle data repository, the vehicle data comprising a vehicle feature, and the vehicle feature being stored in an original equipment manufacturer (OEM)-agnostic terminology;
- 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;
- and
- calculate an effectiveness score of the update by inputting both the first data set and the second dataset into a machine learning algorithm trained to calculate effectiveness scores of updates.
Dependencies are inferred from the claim text.