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Evaluate the Effect of Age and Driving Experience on Driving Performance with Automated Vehicles

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Advances in Human Aspects of Transportation (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 270))

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Abstract

This study investigated the effect of age and driving experience on driving performance with automated vehicles. Participants performed a detection task while driving an automated vehicle in a simulator. Reaction time and accuracy were recorded as the driving performance. Results showed a moderate positive correlation between age and reaction time, between driving experience and reaction time. However, no significant difference in driving performance was found between different age groups and different driving experience groups. The results should provide insights to future studies about the effect of human factors in automated vehicles.

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Acknowledgments

This research was supported by the Center for Advances in Port Management (CAPM) at Lamar University. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the CAPM.

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Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Lamar University, Beaumont, TX, USA

    Tianjian Li, Ruobing Zhao, Yi Liu & Yueqing Li

  2. School of Management, Tianjin University of Technology, Tianjin, China

    Guanlong Li

Authors
  1. Tianjian Li
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  2. Ruobing Zhao
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  3. Yi Liu
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  4. Yueqing Li
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  5. Guanlong Li
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Corresponding author

Correspondence to Yueqing Li .

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Editors and Affiliations

  1. Boldrewood Innovation Campus, University of Southampton, Southampton, UK

    Neville Stanton

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Li, T., Zhao, R., Liu, Y., Li, Y., Li, G. (2021). Evaluate the Effect of Age and Driving Experience on Driving Performance with Automated Vehicles. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_19

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  • DOI: https://doi.org/10.1007/978-3-030-80012-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80011-6

  • Online ISBN: 978-3-030-80012-3

  • eBook Packages: EngineeringEngineering (R0)

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