Method and system for risk prediction for a support actuation system

A method for risk prediction for a support actuation system in an automobile comprising:

• detecting, using a sensor, identity data of a first user of the automobile;
• detecting, using the sensor, behavior data of the first user;
• detecting, using the sensor, environment data;
• detecting, using the sensor, event data;
• generating, using a processor, an environment risk value based on the environment data;
• generating, using the processor, an event risk value based on the event data;
• determining, using the processor, whether the behavior data has corresponding behavior data in a database;
• registering, in the database, the behavior data of the first user in response to the processor determining that the behavior data does not have corresponding behavior data in the database for the first user and does not have corresponding behavior data in the database for other users registered in the database;
• generating, using the processor, a state trajectory for the behavior data and a total risk value based on the state trajectory in response to the processor determining that corresponding behavior data is in the database for other users registered in the database but not for the first user;
• and
• generating, using the processor, a total risk value based on the identity data, the behavior data, the environment risk value, the event risk value, and corresponding behavior data in response to the processor determining that corresponding behavior data is in the database for the first user.

An automobile comprising:

• a sensor detecting identity data of a first user of the automobile, behavior data of the first user of the automobile, environment data, and event data;
• a memory storing a database, the identity data, the behavior data, the environment data, and the event data;
• a processor connected to the sensor and the memory, and configured to:
• register, in the database, the behavior data of the first user in response to the processor determining that the behavior data does not have corresponding behavior data in the database for the first user and does not have corresponding behavior data in the database for other users registered in the database;
• generate a state trajectory for the behavior data and a total risk value based on the state trajectory in response to the processor determining that corresponding behavior data is in the database for other users registered in the database but not for the first user;
• and
• generate a total risk value based on the identity data, the behavior data the environment data, and the event data, and corresponding behavior data in response to the processor determining that corresponding behavior data is in the database for the first user.