Research on the information threshold of guidance signs in urban dynamic traffic environment based on TOPSIS and curvature analysis

In this study, a dynamic traffic environment guidance sign information evaluation method based on TOPSIS method and curvature analysis was proposed, taking Xi'an road as the object, by constructing the information demand coefficient model, combined with the entropy weight method to determine the dynamic weight, the driver's eye movement data under different traffic loads (0/400/700 pcu/h) were quantitatively evaluated, the functional relationship between the information demand coefficient and the amount of information was established, the maximum curvature point was determined by using curvature analysis to determine the threshold, and the static, medium load, The information thresholds in high-load scenarios are 6, 7 and 6, respectively, and this method provides a real-time information adaptation mechanism for the dynamic navigation system, realizes the design upgrade from fixed layout to dynamic cognitive adaptation, and has reference value for the optimization of intelligent traffic sign information.