Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel

Yang, Yongzheng; Du, Zhigang; Jiao, Fangtong; Pan, Fuquan

doi:10.3390/ijerph18189810

Cited by 14 publications

(6 citation statements)

References 37 publications

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“…The research in the driving environment also showed that illuminance was positively correlated with the β band. 50 This is consistent with the findings of this study. Also, high-illuminance lights may awaken the central nervous system.…”

Section: Discussionsupporting

confidence: 93%

The use of electroencephalogram to characterize subjective evaluation with illuminance as the independent variable

et al. 2023

Indoor and Built Environment

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The purpose of this study is to explore a new method for characterizing the subjective evaluation under different illuminance level by using electroencephalogram (EEG). The EEG signals and the subjective evaluation (i.e. visual comfort, spaciousness, brightness and visual appearance) from 16 subjects under 6 illuminance levels (75, 100, 200, 300, 500 and 850 lx) were collected. The results showed a significant correlation between subjective evaluation and illuminance. In addition, the logarithmic power of β band was significantly positively correlated with the illuminance ( p < 0.05), and the relationship between the comprehensive subjective satisfaction and the logarithmic power of β band was obtained. Based on this study, the method characterizing subjective evaluation based on the logarithmic power of β band was proposed. Therefore, this research provides a reference method for indoor light environment design based on the physical and mental health of residents.

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Section: Discussionsupporting

confidence: 93%

The use of electroencephalogram to characterize subjective evaluation with illuminance as the independent variable

et al. 2023

Indoor and Built Environment

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“…In addition, the emotional state of drivers could be assessed by using subjective methods, such as Self-Assessment-Manikin [79] or the Reverse Comic Strip [80]. Physiological parameters are measured based on changes in EEG, ECG, eye movement, and other indicators of drivers [81][82][83][84], indirectly evaluating their psychological loads. Among them, the subjective evaluation method is greatly affected by individual differences and cannot evaluate driving performance and load in real time.…”

Section: Discussionmentioning

confidence: 99%

Effects of the Spatial Structure Conditions of Urban Underpass Tunnels’ Longitudinal Section on Drivers’ Physiological and Behavioral Comfort

Feng

Yang

et al. 2021

IJERPH

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To investigate the physiological and behavioral comfort of drivers traversing urban underpass tunnels with various spatial structure conditions, a driving simulator experiment was conducted using 3DMAX and SCANeRTM studio software. Three parameters, including the slope, slope length, and height of a tunnel, were selected as research objects to explore the optimal combination of structural parameters in urban underpass tunnels. The heart rate (HR), interbeat (RR) interval, speed, and lane centerline offset value were collected for 30 drivers. Then, a measurement model of the relationship among HR, RR interval, speed, lane centerline offset value, and structural parameters was established by using partial correlation analyses and the stepwise regression method. On this basis, a structural constraint model based on the drivers’ physiological and behavioral comfort thresholds was also constructed. The results show that the driver’s HR, RR interval, speed, and lane centerline offsets are significantly related to the tunnel height, slope, and slope length. More importantly, this paper not only analyzed the effects of various structural parameters on drivers’ physiology and behavior but also proposed an optimized combination of structural parameters based on drivers’ physiological and behavioral comfort. It can reasonably improve tunnel design in China, ensure tunnel traffic safety, and seek the maximum comfort of the driver in the driving process.

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“…Furthermore, they studied the effect of longitudinal grade on HRG and speed and proposed that the psychological tension of drivers is higher when driving downhill in a tunnel [19]. Yang et al analyzed vehicle speed and drivers' electroencephalography characteristics in the tunnels via a naturalistic driving experiment, which indicated that the drivers' electroencephalography power change rate in the upslope area of tunnels is higher and has the greatest impact on driving safety [20]. Rendon-Velez et al used driving simulation to study drivers' psychological and driving behavior characteristics in tunnels.…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of Freeway Tunnel Length Based on Naturalistic Driving Safety and Comfort

et al. 2023

Sustainability

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The tunnel is an important component of freeway operation safety, and its classification method is the foundation of a refined management of operation safety. At present, the impact of different categories of tunnels on driver safety, comfort, and driving behavior under naturalistic driving conditions is not clear, and there is a lack of classification methods for tunnels of different lengths in their operation stages. This paper was based on the driving workload, which effectively expresses the safety and comfort of drivers. In this context, naturalistic driving experiments in 13 freeways and 98 tunnels with 36 participants were carried out. The DDTW+K-Means++ algorithm, which is suitable for drivers’ driving workload time series data, was used for a clustering analysis of the tunnels. According to the length of the tunnel, the operation-stage tunnels were divided into three categories: short tunnels (<450 m), general tunnels (450~4000 m), and long tunnels (>4000 m). The length of the tunnel had a positive correlation with the drivers’ driving workload, while there was a negative correlation with the vehicle running speed, and the range of changes in the drivers’ driving workload and operation safety risks in general tunnels and long tunnels was higher than that in short tunnels. Road and environmental conditions are important factors affecting the driving workload. The entrance area, the exit area of tunnels, and the middle area of long tunnels are high-risk sections in the affected area of the tunnel. These research results are of great significance for the operation safety management of freeway tunnels.

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Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel

Cited by 14 publications

References 37 publications

The use of electroencephalogram to characterize subjective evaluation with illuminance as the independent variable

The use of electroencephalogram to characterize subjective evaluation with illuminance as the independent variable

Effects of the Spatial Structure Conditions of Urban Underpass Tunnels’ Longitudinal Section on Drivers’ Physiological and Behavioral Comfort

Cluster Analysis of Freeway Tunnel Length Based on Naturalistic Driving Safety and Comfort

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