Evaluation of the rationality of urban road traffic sign setting in Nanchang city based on real vehicle test

The content and density of road traffic signs affect the driving behaviour of drivers and the smoothness of urban traffic. There is a lack of quantitative research methods on the current information threshold of traffic signs. In order to quantitatively classify the informativeness threshold of traffic signs and better explore the reasonableness of traffic sign setting, this paper designed a real-vehicle experiment, adopted the principal component analysis (PCA) method, conducted multi-dimensional analysis of pupil area, fixation intensity, heart rate change rate and heart rate variability, quantified the traffic sign information by using the information entropy theory and introduced the comfort index S, and established regression relations. Driving visual comfort was quantitatively classified into five levels, and it was indicated that the traffic sign information density should be less than 0.373 bits/m and maximum should not exceed 0.507 bits/m.