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. Timeseries theory and statistics theory were used to analyze drivers electrodermal activity data. The results showed that drivers 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.
traffic safety asphalt pavements friction electrodermal activity
WANG Shuyun ZHANG Jinxi LIN Xiang CHEN Weilin
Traffic Engineering Key Laboratory, Beijing University of Technology, Beijing, P.R. China
国际会议
长沙
英文
2785-2789
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）