Print Email Facebook Twitter Optimal Trajectory Planning for Mitigated Motion Sickness Title Optimal Trajectory Planning for Mitigated Motion Sickness: Simulator Study Assessment Author Jain, V. (TU Delft Intelligent Vehicles) Kumar, Sandeep Suresh (Student TU Delft) Papaioannou, G. (TU Delft Intelligent Vehicles) Happee, R. (TU Delft Intelligent Vehicles) Shyrokau, B. (TU Delft Intelligent Vehicles) Date 2023 Abstract In the transition from partial to high automation, occupants will no longer be actively involved in driving. This will allow the use of travel time for work or leisure, where high comfort levels preventing motion sickness are required. In this paper, an optimal trajectory planning algorithm is presented in order to minimise motion sickness in automated vehicles. A predefined path is provided as an input to the algorithm, to generate an optimal path with limited lateral deviation and the corresponding optimal velocity profile, for the minimisation of motion sickness. An optimal control problem is formulated with a cost function combining both motion sickness and travel time. For a sickening curvy road, the algorithm reduced the motion sickness dose value (MSDV) up to 52% depending on the allowed lateral deviation and the weighting on travel time. The efficacy of the proposed algorithm has been evaluated via human-in-the-loop experiments using a moving-base driving simulator. Motion cueing parameters were selected to optimally transmit the sickening stimuli resulting in close to full vibration transmission above 0.2 Hz. During the experiment, the participants were asked to rate their experience based on the standard MIsery SCore ratings. According to these, sickness levels were reduced on average by 65% with reduced motion sickness in all 16 participants. Subject Automated drivingCost functiondriving simulatorMeasurementmotion planningmotion sicknessMotion sicknessOptimal controloptimal controlPlanningRoadsTrajectory planning To reference this document use: http://resolver.tudelft.nl/uuid:8c3280f2-8e2b-40b1-b311-49ff2be6862d DOI https://doi.org/10.1109/TITS.2023.3281724 ISSN 1524-9050 Source IEEE Transactions on Intelligent Transportation Systems, 24 (10), 10653-10664 Part of collection Institutional Repository Document type journal article Rights © 2023 V. Jain, Sandeep Suresh Kumar, G. Papaioannou, R. Happee, B. Shyrokau Files PDF Optimal_Trajectory_Planni ... ssment.pdf 2.56 MB Close viewer /islandora/object/uuid:8c3280f2-8e2b-40b1-b311-49ff2be6862d/datastream/OBJ/view