Research on Color Matching Design Method for Urban Rail Transit Based on SP-GRN
In response to the complex coupling among color attributes,regional elements and target images in the color design of urban rail trains,a gene network model based on fusion activation diffusion theory(SP-GRN)is proposed for the color design of urban rail trains.Firstly,image vocabulary is obtained as the output target of SP-GRN,and the main color,auxiliary color,and decorative color samples are selected as color genes through color moment clustering.Secondly,eye movement experiments are conducted based on the combination of main color,auxiliary color and decorative color genes and edge data are obtained to construct an urban rail train SP-GRN model.The activation diffusion algorithm is used to simulate the activated target image,and the Dijkstra algorithm is used to solve the color genes included in the optimal cognitive path.The image is used as the driving force to obtain the optimized solution using differential evolution algorithm.Taking the color design of the tram in the ice and snow town of Prince City as a practice,the NODE2COLOR V1.0 system is built to enhance the quality and efficiency of integrating differentiated regional elements and user imagery into the color design of urban rail transit.
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