Research on the Effect of Grassland Highway Curves on Driver’s HRV

Abstract:

Improper design of grasslands highway curve is an important cause of accident, which research on is not mature. Drivers are the main body of grasslands highway traffic man-machine environment system. The paper aims at four sections of highway curve, using frequency domain analysis and grey correlation analysis method to study the relationship between driver’s HFnorm, LH/HF and the highway curves. Results indicate that it can not distinguish the effects of driver's sympathetic nerve, vagus nerve and the balance between them caused by different curves in statistical terms. In the monotonous landscape grasslands, increasing some curves of different radii appropriately in highway alignment design can relieve driver’s fatigue to a certain extent. Diversification of grasslands highway curve has a less influence on parasympathetic nerve of young drivers with long driving experience than that of old drivers with long driving experience. To ensure the driver’s autonomic nerve activity being at a reasonable state, it is more perfect to design grasslands highway horizontal and vertical curves combined with driver’s LF/HF indexes, and profile grade with driver’s HFnorm and LH/HF indexes. The results can offer part of theoretical support for thorough study on humanity of grasslands highway alignment.

• Periodical: Advanced Materials Research (Volumes 779-780)
• Pages: 584-591
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.779-780.584
• Online since: September 2013
• Authors: Shou Lin Zhu, Chun Hua Qi, Ming Xing Gao, Feng Yang
• Keywords: Driver, Frequency Domain Analysis, Grey Correlation Analysis, Heart Rate Variability, Highway Curves

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