Patent ID: 11878720
Assignee: ZENDRIVE, INC.
Field: Transport (Mechanical engineering)
Classification: CPC B  G | IPC B  G

Claim 0:
1. A method for adaptive risk modeling for a vehicle, the method comprising:
extracting a set of data features from mobile device sensor data, wherein the least one data feature of the set is associated with the vehicle, wherein at least one data feature of the set is associated with an environment of the vehicle;
determining a set of outputs with a set of one or more machine learning models by evaluating the set of extracted data features using the set of machine learning models comprising at least:
a first risk model configured to output a behavioral risk parameter value;
a second geography-dependent model, determined based on aggregated characteristics of driving-related behaviors characterized as acceptable and associated with a specific location, configured to output a geography-dependent parameter value; and
a third model associated with an environment of the vehicle which is configured to output surrounding-risk parameter value,
transforming the set of outputs, with an exposure parameter, into a risk analysis; and
implementing a response action associated with the vehicle based upon the risk analysis, and
wherein the risk analysis enables fleet-wide modifications of vehicle hardware associated with a fleet of vehicles.