Driving Risk Quantization Model of Two-Lane Highway Based on Visual Alignment Information

For the risk characteristics of the two-lane highway driver, a visual alignment information calculation model is established, based on driving dynamic vision theory, and comprehensively considering the alignment information of horizontal, vertical, cross-section of highways and drivers’ visible area. The relationship between visual alignment information and accident rate was analyzed by the alignment data and accident data of the two-lane highway in Xiangxi, Hunan, China. The result proved that the visual alignment information was poorly correlated with the accident rate and the change rate of visual alignment information had a good positive correlation with the accident rate. The greater the change rate of visual alignment information was, the higher the accident rate was. The accident rate value corresponding to the cumulative frequency of 25%, 50%, 75%, and 90% obtained by the cumulative frequency curve method was combined with the relationship model between the accident rate and the change rate of the visual alignment information to construct a quantitative standard for alignment driving risk of two-lane highway based on the change rate of visual alignment information. Findings of the research could provide theoretical basis for exploring the research on subjective and objective safety of highway and safety assessment.