Researchers are using driving simulators to design and assess the automated driving and driver assistant systems, due to the safe nature of experimentation in the virtual environment. The motion cues and accelerations felt by the drivers are essential for an accurate perception of the events and the response of the drivers. In this paper, the vehicle dynamic model and the Motion Cueing Algorithm used for the simulation is described in detail, then driver’s performance and subjective assessments was studied for the braking, chicane and overtaking maneuver in the 3 different gear shifting scenario. The study demonstrates that the presence of the motion cueing feedback in the driving simulation was satisfactory and gave realistic cues for the participants independent of the gear shifting system, however no significant effect was found from the driver’s behavior due to different gear shifting system.

Driver Response to Gear Shifting System in Motion Cueing Driving Simulator

navid ghasemi;claudio lantieri;andrea simone;valeria vignali;
2020

Abstract

Researchers are using driving simulators to design and assess the automated driving and driver assistant systems, due to the safe nature of experimentation in the virtual environment. The motion cues and accelerations felt by the drivers are essential for an accurate perception of the events and the response of the drivers. In this paper, the vehicle dynamic model and the Motion Cueing Algorithm used for the simulation is described in detail, then driver’s performance and subjective assessments was studied for the braking, chicane and overtaking maneuver in the 3 different gear shifting scenario. The study demonstrates that the presence of the motion cueing feedback in the driving simulation was satisfactory and gave realistic cues for the participants independent of the gear shifting system, however no significant effect was found from the driver’s behavior due to different gear shifting system.
VEHICULAR 2020, The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications
78
83
navid ghasemi , claudio lantieri , andrea simone , valeria vignali , hocine imine , roland bremond
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/873281
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