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This paper describes the contribution of the closed-loop control of the motion platform (six degrees of freedom: longitudinal, lateral, and vertical displacements; pitch, roll, yaw) and motion platform’s three-dimensional (3D) displacement scale factor (SF) (0.2 and 1.0) on eye pupil diameter (PD) as an objective measure of driver cognitive load. Longitudinal, lateral, and vertical accelerations as well as longitudinal, lateral, and vertical positions from the center of gravity (CG) of the vehicle were registered through the driving simulation software SCANeRstudio® from OKTAL. Closed-loop control decreases the driver mental load. This type of closed-loop control can be used to decrease the driver mental load.

Angular velocity perception plays an important role for a better sense of presence in driving simulators. This paper deals with the angular velocity perception threshold and sense of presence. A three degrees of freedom (DOF: roll, pitch, and heave) driving simulator, a motion tracking sensor, a driving simulation software, and self-prepared questionnaires were used. Due to the subjective assessments, there were no significant differences between static and dynamic platform types. Eight different cases were investigated with respect to visual and inertial factors (field of view (FOV) and motion platform). Subjective evaluations showed that there were no significant differences between static and dynamic conditions. Lower FOV, static platform, stereo vision condition has provided the best condition (best realism depending on objective-subjective measure relationship).

In this paper, an active anti-roll bar system has been created. A nonlinear rollover model on a Yaw/Roll model with nonlinear tire is used to describe the vehicle dynamics for a quasi LCV (Light Commercial Vehicle) and its rollover prevention system, and the rollover predictor based on a Time-To-Rollover (TTR) Index have been investigated. Also, anti rollover controller has been implemented. Modeled system has been tested for its roll stability under various maneuvers. In the behavior of the vehicle with active anti-roll bar the vehicle roll angle is reduced and limited a safe range. According to Human Machine Interface theory, when a person drives he/she reacts due to his/her feeling inputs from the environment, so this results a closed loop control. For this scope, also a human perception model and a washout algorithm have been realized to clarify how the human perceives roll instability maneuvers.

This paper deals with an active roll controller (ARC) of a load-dependent LCV (light commercial vehicle), since they are frequently inclined in rollover accidents because of the high CG (centre of gravity), inaccurate loading. Therefore, nowadays electronic stability program (ESP) function has also been integrated in them. The ARC algorithm was realized, depending on an equivalent active torque formation by an actuator against the existing roll moment in the opposite direction to stabilize and/or avoid the roll and/or rollover, simulated to assess objectively.