Car driver behavior during pre-crash situation: analysis with the BCD model

Today, few data allow estimating the driver posture and movements during a crash situation. These precious data could provide the possibility to define criteria to trigger driving assistance to control the vehicle for active safety or to protect the driver for passive safety. Therefore, we tried to link the different accidentology approaches by conducting a study about the feasibility to evaluate the behaviour of the driver during a precrash situation with a driving simulator. This paper applies the BCD (Benefit/Cost/Deficit) model [2] for detection of a risky situation and its occurrence time point in order to evaluate the possibility to trigger safety systems. An experiment with a motion-base driving simulator was conducted to investigate the effectiveness for the risky situation detection.