Paper Title
Motion Sickness Prediction Device for Automated Vehicles

Motion sickness is a persistent problem in many forms of transport. It affects most of the population, is debilitating for the sufferer and can disrupt the journey for the rest. AutomatedVehicles (AV’s) offer greater flexibility in cabin design particularly in the future where no physical controls are required. This poses additional risks to passenger wellbeing with increased levels of motion sickness when passengers and historical drivers are multi-tasking. This study demonstrates a device that can predict real time occupant motion sickness based on motion, head tilt and ambient conditions. Recovery is also considered for multiple journeys. The device can be easily modified to reflect an individual’s susceptibility or use group settings for the general population. Index Terms - Automated Vehicle, Motion sickness, Wellbeing, Prediction.