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Evaluation of Motion Sickness Prediction Models for Autonomous Driving

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Advances in Dynamics of Vehicles on Roads and Tracks II (IAVSD 2021)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The introduction of autonomous vehicles is expected to change the transportation system radically. One of the essential factors that affect the acceptance and choice of autonomous driving is passenger comfort. All people in the autonomous vehicle will be passengers and be able to perform non-driving tasks like reading etc. which increases the likelihood of motion sickness. This makes accurate estimation of motion sickness a necessity in the design stages of autonomous vehicles. The aim of this work is to review and apply two motion sickness prediction models (ISO-2631 and the 6D-SVC model) and evaluate their ability to capture individual motion sickness feelings using measured data and subjective assessment ratings from field tests. The comparison with the experimental results shows that the applied estimation models can be tuned to capture the individual motion sickness feelings. The results also show that habituation of motion sickness is an important property that needs to be taken into consideration and modelled.

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Acknowledgments

The authors would like to thank the Centre for ECO2 Vehicle Design, funded by the Swedish Innovation Agency Vinnova (Grant Number 2016-05195), and Volvo Cars for financial support. A special thanks also to Britta Berg and Willy Tunbratt at Volvo Cars.

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Authors and Affiliations

  1. Volvo Car Corporation, 405 31, Gothenburg, Sweden

    Ilhan Yunus

  2. Vehicle Dynamics, The Centre for ECO2 Vehicle Design, Department of Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden

    Ilhan Yunus, Jenny Jerrelind & Lars Drugge

Authors
  1. Ilhan Yunus
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  2. Jenny Jerrelind
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  3. Lars Drugge
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Corresponding author

Correspondence to Ilhan Yunus .

Editor information

Editors and Affiliations

  1. Emperor Alexander I Saint-Petersburg State Transport University, St. Petersburg, Russia

    Anna Orlova

  2. Department of Engineering, University of Cambridge, Cambridge, UK

    David Cole

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Yunus, I., Jerrelind, J., Drugge, L. (2022). Evaluation of Motion Sickness Prediction Models for Autonomous Driving. In: Orlova, A., Cole, D. (eds) Advances in Dynamics of Vehicles on Roads and Tracks II. IAVSD 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-07305-2_81

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  • DOI: https://doi.org/10.1007/978-3-031-07305-2_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07304-5

  • Online ISBN: 978-3-031-07305-2

  • eBook Packages: EngineeringEngineering (R0)

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