Model predictive control-based drive assist control in Electric vehicle — An application to inter distance control considering human model

Traffic accidents have become social trouble along with the increase in drivers and diversification. In traffic accidents the rear-end collision includes the risk of severe injury. About 30 percent of the cause of traffic accidents is the collision accidents. Therefore, this paper proposes two methods to control the vehicle. One is the safe and comfortable inter-vehicular distance control considering the cut-out and the cut-in with force sensory accelerator and brake pedal. This inter-vehicular distance control is used model predictive control-based three evaluation indexes. To prompt proper pedal operation, force sensory pedal motor generates pedal assist torque. The other is driver behavior model presented in quantification the driver's acknowledgment. To achieve this, evaluation index based on the visual acknowledgment information of drivers is used. Driving simulator experiment results are shown to verify the effect of the proposed method.