Machine-learning approach to predict on-road driving ability in healthy older people.

Journal: Psychiatry and clinical neurosciences
Published Date: Jul 20, 2020

Abstract

AIM: In Japan, fatal traffic accidents due to older drivers are on the rise. Considering that approximately half the older drivers who have caused fatal accidents are cognitively normal healthy people, it has been required to detect older drivers who are cognitively normal but at high risk of having fatal traffic accidents. However, a standardized method for assessing the driving ability of older drivers has not yet been established. We thus aimed to identify a new sensing method for the evaluation of the on-road driving ability of healthy older people on the basis of vehicle behaviors.

Authors

  • Yasuharu Yamamoto
    Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
  • Jinichi Hirano
    Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
  • Hiroshi Yoshitake
    Department of Human and Engineered Environmental Studies, The University of Tokyo, Tokyo, Japan.
  • Kazuno Negishi
    Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.
  • Masaru Mimura
    Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
  • Motoki Shino
    Department of Human and Engineered Environmental Studies, The University of Tokyo, Tokyo, Japan.
  • Bun Yamagata
    Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

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