Driver friendly adaptive cruise control by driver behavior

Abstract

Adaptive cruise control is one of the popular features of the advanced driver assistance system(ADAS). It is an extended form of conventional cruise control, and it has been considered as a contributing factor in driving safety and string stability. Recently, human behavior in the automotive industry has become more significant. This paper proposed driver-friendly adaptive cruise control(DF-ACC), and it demonstrated the deduction method control parameter of a current driver. For the design of the DF-ACC algorithm, actual driver behavior data with a driving simulator based on the HIL system were collected and analyzed. Then, driving data were separated in a stable and transient zone. The driver's desired distance and acceleration as control parameters could be estimated from the driving data in each zone. Lastly, this paper compared real driver driving and DF-ACC simulation data.