Traffic Safety Evaluation of Asphalt Pavement Anti-Sliding Property Based on Time Series Analysis of Drivers´ Electrodermal Activity

In this paper, the safety threshold of asphalt pavement anti-sliding performance has been studied based on drivers´ psychological-physiological reaction. Time-series theory and statistics theory were used to analyze drivers´ electrodermal activity data. The results showed that driver´s electrodermal activity (EDA) data was detrended linear trend first, and then there was a better correlation between its standard deviation (SD) and friction coefficient (f). At the same time, there was also a better relationship between SD and speed when driving simulation module (DSM) runs at a specific friction coefficient test scene. Based on these conclusions and a decay curve obtained from actual road, a safety threshold of f was acquired and the optimal safety maintenance opportunity of road was suggested.