How Does Approaching a Lead Vehicle and Monitoring Request Affect Drivers’ Takeover Performance? A Simulated Driving Study with Functional MRI

Chimou Li, Xiaonan Li, Ming Lv, Feng Chen, Xiaoxiang Ma and Lin Zhang
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Chimou Li: CCCC Wenshan Highway Construction & Development Co., Ltd., Wenshan 663000, China
Xiaonan Li: The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Jiading, Shanghai 201804, China
Ming Lv: CCCC Wenshan Highway Construction & Development Co., Ltd., Wenshan 663000, China
Feng Chen: The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Jiading, Shanghai 201804, China
Xiaoxiang Ma: School of Transportation and Logistics Southwest Jiaotong University, Chengdu 611756, China
Lin Zhang: Shanghai Municipal Engineering Design Institute (Group) Co., Ltd., Shanghai 200437, China

IJERPH, 2021, vol. 19, issue 1, 1-20

Abstract: With the popularization and application of conditionally automated driving systems, takeover requirements are becoming more and more frequent, and the subsequent takeover safety problems have attracted attention. The present study used functional magnetic resonance imaging (fMRI) technology, combined with driving simulation experiments, to study in depth the effects of critical degree and monitor request (MR) 30 s in advance on drivers’ visual behavior, takeover performance and brain activation. Results showed that MR can effectively improve the driver’s visual and takeover performance, including visual reaction times, fixation frequency and duration, takeover time, and takeover mode. The length of the reserved safety distance can significantly affect the distribution of longitudinal acceleration. Critical or non-critical takeover has a significant impact on the change of pupil diameter and the standard deviation of lateral displacement. Five brain regions, including the middle occipital gyrus (MOG), fusiform gyrus (FG), middle temporal gyrus (MTG), precuneus and precentral, are activated under the stimulation of a critical takeover scenario, and are related to cognitive behaviors such as visual cognition, distance perception, memory search and movement association.

Keywords: conditional automated driving; takeover; functional magnetic resonance imaging; visual behavior; brain activation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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