Driver Assistance Control based on Model Predictive Computation of Constraint Satisfaction

The driver assistance control needs to satisfy the safety and acceptability requirements. These two requirements sometimes may conflict is ilk each other depending on the situation and driver. In order to resolve this problem, this paper proposes a new personalized assistance control scheme based on a model predictive computation of constraint satisfaction. The key idea is to design the real time decision system to decide whether the driver-vehicle model satisfies the safe t constraints or not in the predicted horizon. The lateral motion (collision avoidance task) is particularly focused on, and the validity of the proposed assistance system is verified by sonic examinations using driving simulator.