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While driver assistance systems in automated vehicles are becoming more sophisticated to reduce accidents and the burden on drivers, there are concerns regarding drivers-system incompatibilities. Given the complexity of the risk structure when driving a car and the changes in people and society, there is a need to study strategies to further reduce the risk of accidents. In resilience engineering, the support for overcoming human awareness limitations has been studied as a risk-reduction method. Considering these circumstances, this study investigated the age-specific characteristics of drivers’ learning styles and examined traffic safety education methods that are more acceptable to elderly drivers.

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Investigation of Safety Education Methods Based on the Results of a Survey of Elder Drivers’ Learning Styles Toward an Automated Driving System

  • 会议论文

  • 发表日期：

    2025年

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  • Maki Arame,
  • Yoshiko Goda,
  • Junko Handa,
  • Toda Masashi

摘要

While driver assistance systems in automated vehicles are becoming more sophisticated to reduce accidents and the burden on drivers, there are concerns regarding drivers-system incompatibilities. Given the complexity of the risk structure when driving a car and the changes in people and society, there is a need to study strategies to further reduce the risk of accidents. In resilience engineering, the support for overcoming human awareness limitations has been studied as a risk-reduction method. Considering these circumstances, this study investigated the age-specific characteristics of drivers’ learning styles and examined traffic safety education methods that are more acceptable to elderly drivers.