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.

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.

Abstract: The following relates generally to tracking effectiveness of an update to a vehicle feature using a distributed ledger. In some embodiments, a distributed ledger including a vehicle feature is added to or constructed. Information indicating an update to the vehicle feature, and accident record information may then 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, and added to the distributed ledger.

Abstract: Provided herein is a computing system that includes a processor in communication with a memory. The processor is configured to (1) receive a plurality of data records associated with a plurality of users that include historical user data; (2) generate a model based upon the plurality of data records, wherein the model (i) predicts travel behavior of a user, and/or (ii) outputs an insurance policy and associated premium for the user based upon the predicted travel behavior; (3) retrieve current user data associated with the candidate user; (4) apply the model to (i) determine a user trial travel behavior, and/or (ii) output a trial insurance policy and associated premium for the candidate user; and/or (5) transmit a notification to the user computing device that includes a prompt for the user to register for the insurance policy.

Abstract: Provided herein is a computing system that includes a processor in communication with a memory. The processor is configured to (1) receive a plurality of data records associated with a plurality of users that include historical user data; (2) build a model based upon the plurality of data records, wherein the model (i) predicts modes of transportation commonly used by the plurality of users, and/or (ii) outputs insurance policies and associated premiums of the plurality of users based upon the historical user data; (3) retrieve current user data associated with the candidate user; (4) utilize the model to (i) determine the modes of transportation commonly used by the candidate user, and/or (ii) output an insurance policy and an associated premium for the candidate user; and/or (5) transmit a notification to the user computing device that includes a prompt for the user to register for the insurance policy.