Study on Determinants Influencing Driving Through EEG Technology

Driving safety is an important factor in avoiding traffic accidents, and a driver's physiological and psychological states play an important role while driving. This article, which uses electroencephalography (EEG) technology, examines the EEG signal characteristics under various driving conditions and the relationship between driving performance and influencing factors such as drunk driving, mental fatigue, physical fatigue, and emotional fluctua-tions. This study identifies key EEG indicators, to quantify the driver's state and reveal their relationship with driving performance, providing a scientific basis for real-time driver state monitoring. The findings validate the rationality of current traffic regulations on drunk driving while highlighting the potential risks of physical fatigue and emotional fluctuations, addressing gaps in existing regulations. Overall, this article uses EEG technology to investigate the neural mechanisms underlying dangerous driving states, as well as to provide new quantitative methods and theoretical support for driver state monitoring. Future research will concentrate on improving EEG monitoring devices, integrating multimodal data, and developing real-time driving safety monitoring systems to improve overall road traffic safety