Dynamic Identification of Driver-Vehicle System Using AR-method

Abstract

When investigating dynamics of a driver-vehicle system, isolation between driver dynamics and vehicle dynamics becomes important, because interaction between them exists in the closed-loop system. The subject of this study is to examine effectiveness of AR-method by which each dynamics can be identified. The AR-method applied to lane changes, usually having rather short duration data, provides usefullness for the isolation. This method well reflects variation of subject drivers in identified results, and time series data recoverd by identified VAR-model is consistent with field data.