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Analysis of Influencing Factors of Level 3 Automated Vehicle Takeover: A Literature Review

Author

Listed:
  • Hanying Guo

    (Department of Automobile and Transportation, Xihua University, Chengdu 610039, China)

  • Haoyu Qiu

    (Department of Automobile and Transportation, Xihua University, Chengdu 610039, China)

  • Yongjiang Zhou

    (Department of Automobile and Transportation, Xihua University, Chengdu 610039, China)

  • Yuxin Deng

    (Department of Automobile and Transportation, Xihua University, Chengdu 610039, China)

Abstract

Level 3 automated vehicles (L3 AVs) enable the driver to perform non-driving tasks, taking over in an emergency. In recent years, studies have extensively discussed the influencing factors of L3 AV takeovers. Extensive literature review shows that L3 AV takeovers are affected by human factors, traffic environment, and automatic driving systems. On this basis, this study proposes a conceptual framework of L3 AV takeovers. The main findings of this study include the following: (1) non-driving tasks, non-driving posture, individual characteristics, and trust have an impact on takeover behavior; (2) high traffic density, poor road geometry, and extreme weather have a negative impact on the takeover; (3) multimodal interaction design can improve collection performance. Although the existing research has made rich achievements, there are still many challenges. The influence of human factors on takeover performance is controversial, the quantification standard of takeover influencing factors is insufficient, and the prediction accuracy needs to be improved. It is suggested to refine the criteria of driver participation in NDRT, formulate an effective measurement standard of driver fatigue, and develop a takeover prediction model combining driver status and traffic environment conditions. It provides a research basis for the formulation of laws, infrastructure construction, and human–computer interaction design.

Suggested Citation

  • Hanying Guo & Haoyu Qiu & Yongjiang Zhou & Yuxin Deng, 2024. "Analysis of Influencing Factors of Level 3 Automated Vehicle Takeover: A Literature Review," Sustainability, MDPI, vol. 16(19), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8345-:d:1485713
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    References listed on IDEAS

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    1. Peng Liu & Run Yang & Zhigang Xu, 2019. "Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 326-341, February.
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