Motion Sickness Minimization Alerting System Using The Next Curvature Topology

Current intelligent car prototypes increasingly move to become autonomous where no driver is required. If an automated vehicle has rearward and forward facing seats and none of the passengers pay attention to the road, they increasingly experience the motion sickness because of the inability of passengers to anticipate the future motion trajectory. In this paper, we focus on anticipatory audio and video cues using pleasant sounds and a Human Machine Interface to display and inform the passengers about the upcoming trajectories that may lead to make the passengers sick. To be able to anticipate the next moves, we require an evaluation system of the next 1 kilometer of the road using the map. The road is investigated based on the amount of the turns and the maximum speed allowed that lead to lateral accelerations that is high enough based on Motion Sickness Dose Value to make the passengers sick. The system alerts the passengers through a Human Machine Interface to focus on the road for prevention of the Motion Sickness. We evaluate our method by using Motion Sickness Dose Value. Based on this work, we can prevent the sickness due to lateral accelerations by making the passengers to focus on the road and decrease the vestibular conflict.