Evaluation of traffic engineering facilities information volume of prairie highway curve

doi:10.16265/j.cnki.issn1003-3033.2019.04.014

Abstract

Abstract: In order to clarify the drivers' visual characteristics at different levels of traffic engineering facilities information volume of the prairie highway curve, and determine the optimum range of information volume, mathematical statistics and regression analysis were used, five virtual scene driving tests of bends of prairie highway with different levels(Q₀,Q₁,Q₂,Q₃,Q₄) of traffic engineering facilities information volume were established, and the simulation driving test was carried out. The drivers' gaze intensity, scanning intensity and blink intensity at different levels were evaluated quantificationally. The results show that the eye movement intensity is largely determined by the frequency of eye movement, that traffic engineering facility information volume has a marked effect on the intensity of driver's gaze, glance and blink, that intensity of eye movement shows the best performance under the Q₂ condition and it is best for driving safety, and that the intensities of drivers' three eye movements show a strong correlation with the change of traffic engineering facilities information volume, among which the gaze intensity has the biggest degree of correlation, followed by scanning intensity and blink intensity.

Key words: prairie highway, traffic engineering facility, evaluation of information volume, gaze intensity, scanning intensity, blink intensity

CLC Number:

X913.4

HAN Lei, ZHU Shoulin, QI Chunhua, GAO Mingxing, LI Hangtian. Evaluation of traffic engineering facilities information volume of prairie highway curve[J]. China Safety Science Journal, 2019, 29(4): 83-88.

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