Method and system for risk modeling in autonomous vehicles

A method for adaptive risk modeling for an autonomous vehicle, the method comprising:

• with sensor systems associated with the autonomous vehicle, generating:
• a comparative autonomous model that compares autonomous vehicle operation to human driving operation in a set of driving scenarios,
• a mix model characterizing operation of the autonomous vehicle in mixed-traffic driving scenarios,
• a sensor-surrounding model characterizing surroundings of the autonomous vehicle;
• with a supplementary data extraction system, generating:
• a geography-dependent model characterizing geographic location-specific acceptable driving behaviors;
• with a security diagnostic system associated with the autonomous vehicle, generating a security risk model characterizing security risks of the autonomous vehicle;
• in response to an identified driving mission of the autonomous vehicle, generating values of:
• a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with the comparative autonomous model, the mix model, the sensor-surrounding model, the geography-dependent model, and the security risk model;
• upon generating values, generating a risk analysis upon processing values of the comparative autonomous parameter, the mix model parameter, the surrounding risk parameter, the geographic operation parameter, and the security risk parameter with a rule-based algorithm;
• and
• contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.