Study on the Influence of Anti-slipping Layer Color on Driving Safety at the Tunnel Entrance

Abstract

In order to study the influence of anti-slipping layer color on driving safety before the tunnel entrance, based on color theory and psychology, this paper used UC-win/Road, Adobe Photoshop, and 3D Max to simulate the real scene, and 8 different color schemes were designed for anti-slipping layer paving. The analog driving device was used to simulate driving, and the eye tracker was adopted to collect the characteristic data of driver’s eye movement. Through data processing, driver’s pupil area change, gaze point proportion and reaction time for targets in the 8 color scheme conditions were obtained, and then the impact of different anti-slipping layers color on driver’s driving safety was evaluated. The anti-slipping layer pavement schemes with different colors have different degrees of impact on driver vision, which in turn affect driving safety. According to the characteristics of optical illusion, a discontinuous multicolor anti-slipping layer pavement scheme was designed, which can provide strong guidance to improve the security of high-speed driving on Wenshan Guangnan-Nasa Expressway.

Deep learning–based eye tracking system to detect distracted driving

“…Numerous researchers have developed various methods to detect driver distraction behaviors, including the use of eyemovement devices, field observations, deep learning, and simulations of real-life scenarios [12][13][14][15]. Notably, the use of eye-tracker to pinpoint a driver's gaze location for identifying distractions, and the deployment of deep learning techniques for distraction detection, have garnered significant interest.…”