International Journal of Safety and Security Engineering Vol. 11, No. 2, April, 2021, pp. 155-165 Journal homepage: http://iieta.org/journals/ijsse Analysis of EEG Characteristics of Drivers at the Entrance and Exit of an Undersea Tunnel and Research on Driving Safety Fuquan Pan*, Yongzheng Yang, Lixia Zhang, Xiaoxia Yang, Jinshun Yang, Meijun Liu School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China Corresponding Author Email:
[email protected] https://doi.org/10.18280/ijsse.110204 ABSTRACT Received: 5 February 2021 To study the influence of illumination and longitudinal slope at the entrance and exit of Accepted: 12 April 2021 an undersea tunnel on driver EEG characteristics, a real vehicle experiment was performed with the Jiaozhou Bay Undersea Tunnel. The experimental data of a driver’s Keywords: real vehicle experiment were collected using an illuminance meter, EEG instrument, video traffic safety, undersea tunnel, driver, recorder and other experimental equipment. The EEG power spectrum was classified illumination, longitudinal slope, EEG according to frequency, the difference between the EEG power spectrum at the entrance and exit sections and other regions was analyzed, and the influence of the illumination and longitudinal slope of the undersea tunnel on the brain activity of drivers was studied. The region near the entrance and exit of the undersea tunnel was divided equidistantly, the changes in the EEG power of the driver during the process of entering and exiting the undersea tunnel were analyzed, and the changes in brain activity and different brain regions during the process were studied. Based on the EEG power, the model of illumination, longitudinal slope and their coupling effect was established.