01664162

Component

https://doi.org/10.1177/0361198118783165

Driving behavior studies based on electroencephalography (EEG) have mostly investigated the relationship between various risky driving behaviors and brain activity, while only a few studies have discussed the relationship between ordinary driving behavior (drivers’ behavior in normal situations) and brain activity. To bridge the gap, we conducted a driving simulator experiment to collect data on ordinary driving behavior, including acceleration, space headway, speed, time headway, lane deviation, and amplitude of steering wheel movements. At the same time, the amplitude, log-transformed power (LTP), and power spectral density of EEG were extracted as EEG features. The quantitative relationships between ordinary driving behavior features and EEG features were investigated, where power spectrum analysis was performed to process EEG signals and Pearson correlation analysis was utilized for statistical analysis. The results indicated that ordinary driving behavior relates to all four brain regions, especially the temporal, occipital, and frontal regions. β-LTP was found to be most relevant to ordinary driving behavior. Furthermore, acceleration, speed, and space headway may have potential correlation with EEG features (e.g., β-LTP). These findings improve our understanding of the correlation between brain activity and driving behavior, and show potential for application in transportation safety, such as advanced driver assistance systems design.

This paper was sponsored by TRB committee AND30 Standing Committee on Simulation and Measurement of Vehicle and Operator Performance. The authors confirm contribution to the paper as follows: study conception and design: Liu Yang, Wei Guan; data collection: Liu Yang, Shixiong Jiang; analysis and interpretation of results: Liu Yang, Wei Guan, Zhengbing He; draft manuscript preparation: Liu Yang, Zhengbing He, Shixiong Jiang. All authors reviewed the results and approved the final version of the manuscript. © National Academy of Sciences: Transportation Research Board 2018.

18-05856

English

pp 172-180

2018-12

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

References (26)

Acceleration (Mechanics); Behavior; Cognition; Driver performance; Drivers; Electroencephalography; Headways; Speed

Highways; Safety and Human Factors

TRIS, TRB, ATRI

Jan 8 2018 11:30AM

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