Systems and methods for adaptive sensor-based provisioning

A method for sensor-based provisioning for one or more users of a vehicle, the method comprising:

• in response to determining a first user of the vehicle based on authentication provided by the first user, executing one or more sensor functions to store, with respect to the first user, first information from a plurality of sensors associated with the vehicle, the first information including sensor data related to usage of the vehicle by the first user and sensor data related to storage and fueling of the vehicle while associated with the first user during a first period of time;
• at a time subsequent to the first period of time, in response to determining a second user of the vehicle based on authentication provided by the second user, executing the one or more sensor functions to store, with respect to the second user, second information from the plurality of sensors associated with the vehicle, the second information including sensor data related to usage of the vehicle by the second user and sensor data related to storage and fueling of the vehicle while associated with the second user during a second period of time;
• using an accelerometer, a tachometer, or a strain gauge to identify information regarding changes in engine stress during a total period of time that includes the first period of time and the second period of time;
• and
• using a machine learning model configured to input the first information stored with respect to the first user and the second information stored with respect to the second user to determine a first fractional variable for the first user and a second fractional variable for the second user and provide an output for assigning at least one of a first portion of a total resource usage to the first user based on the first fractional variable or a second portion of the total resource usage to the second user based on the second fractional variable, wherein the total resource usage is based on the information regarding the changes in the engine stress.

One or more non-transitory, computer-readable media comprising instructions recorded thereon that, when executed by one or more processors, causes operations comprising:

• in response to determining a first user of a vehicle, executing one or more sensor functions to store, with respect to the first user, first information from a plurality of sensors associated with the vehicle during a first period of time;
• at a time subsequent to the first period of time, in response to determining a second user of the vehicle, executing the one or more sensor functions to store, with respect to the second user, second information from the plurality of sensors associated with the vehicle during a second period of time;
• inputting, into a machine learning model, a first portion of total resource usage associated with the vehicle for a total period of time including the first period of time and the second period of time, wherein the machine learning model is an artificial neural network (ANN), and wherein the first portion of the total resource usage includes a plurality of inputs for the ANN;
• and
• receiving, from the machine learning model, an output that is used to determine the total resource usage and indicates probabilities corresponding to the plurality of inputs from the first portion of the total resource usage, wherein the probabilities comprise a probability that the first portion of the total resource usage is associated with the first user and a probability that a second portion of the total resource usage is associated with the second user.