Subjective evaluation-based feedback vehicle control

Abstract

This paper presents a study on an intelligent vehicle that has the driver's subjective evaluation model. The subject's driving task is to follow the car in front of him (the first car) and to keep the headway distance between the two cars consistent. Using the ARMA model and fuzzy knowledge, the author created the subjective evaluation model that can predict the driver's subjective evaluation when performing this driving task. He realized that the subjective evaluation feedback control system is very useful for future vehicles.