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Driver cognitive state recognition in autonomous driving takeover decision making
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Shuyu SHAO1, 2, Yanping LI1, Jiaqi HAN1
China Safety Science Journal | 2026, 36(3) : 255 - 263
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China Safety Science Journal | 2026, 36(3): 255-263
Intelligent Safety Technology
Driver cognitive state recognition in autonomous driving takeover decision making
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Shuyu SHAO1, 2, Yanping LI1, Jiaqi HAN1
Affiliations
  • 1School of Intelligent Engineering and Supply Chain Innovation, Beijing Wuzi University, Beijing 101149, China
  • 2Beijing Key Laboratory of Intelligent Logistics System, Beijing 101149, China
Published: 2026-03-28 doi: 10.16265/j.cnki.issn1003-3033.2026.03.0912
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In order to address the issue of human-machine collaboration failure in the takeover decision-making of autonomous driving and achieve precise recognition of the driver's cognitive state, this paper simulates three typical scenarios, night high-speed curves, mobile phone distracted driving, and combined scenarios of strong light and heavy rain, collecting and analyzing the dynamic interaction data of driving behavior and eye movement features construct a dynamic weight allocation(DWA) distribution feature fusion framework for multimodal perception and cognition collaboration, constructed DWA-RF model, and explore the dynamic mechanism of the driver's cognitive state and takeover decision-making behavior in complex environments. The results show that the distracted state significantly prolongs the takeover time. In scenes of strong light and heavy rain, the superimposition of distraction and environmental pressure leads to a sharp reduction in the range of scanning. Fatigue causes an increase in lane departure distance, accompanied by a reduction in pupil diameter and abnormal scanning behavior. The cognitive state classification accuracy of DWA-RF constructed in this paper has reached 93.6%, verifying the effectiveness of this model in identifying the driver's cognitive state for autonomous driving takeover decisions.

driver  /  autonomous driving  /  takeover decision  /  multimodal perception  /  dynamic weight allocation random forest (DWA-RF)
Shuyu SHAO, Yanping LI, Jiaqi HAN. Driver cognitive state recognition in autonomous driving takeover decision making[J]. China Safety Science Journal, 2026 , 36 (3) : 255 -263 . DOI: 10.16265/j.cnki.issn1003-3033.2026.03.0912
Year 2026 volume 36 Issue 3
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.03.0912
  • Receive Date:2025-10-10
  • Online Date:2026-07-08
  • Published:2026-03-28
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  • Received:2025-10-10
  • Revised:2025-12-16
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    1School of Intelligent Engineering and Supply Chain Innovation, Beijing Wuzi University, Beijing 101149, China
    2Beijing Key Laboratory of Intelligent Logistics System, Beijing 101149, China
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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