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Abstract:
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 (1). 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.
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ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS
Year: 2009
Page: 859-863
Language: English
Cited Count:
WoS CC Cited Count: 1
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
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