Traffic Sign Design Based On Cognitive Processing Of Warning Information

With the development of technology and economy, the numer of motor vehicles in China increased significantly, but the surge in traffic accident has become serious problems. The traffic signs in an indispensable part of the whole traffic system, and plays an important role. In order to find out the most understandable traffic sign design elements, so as to satisfy users’ cognitive processing of traffic signs. This paper takes the cognition process signs as breakthrough point, aiming to exploring the cognition process and best designed traffic signs. The main content is as follows:(1) Take the diffident traffic signs familiarity and perceptual image words option between indivaduals into account, this research start from typical traffic signs selecting and perceptual image words extracting.(2) Then take the chosen traffic signs as experiment material for think-aloud experiment. After analyzing the experiment process, to find out the cognitive processes and sum up the cognitive differences between easily identified and hardly identified traffic signs.(3) Thirdly, respectively use PLS to establish the model between design elements of typical traffic signs and perceptual image words. On this basis, improving the design of hardly identified traffic signs and making several sets of improvement plan.(4) Finally, use the relational model for traffic signs perceptual evaluation, and using questionnaire and eye movement experiment method for traffic signs evaluation, using the experimental data to establish the final plan after comprehensive comparison.This paper focus on the traffic sign optimized design from the view of cognitive process, the result will provide great value of reperence for the improvement of traffic sign design.