Evaluation and Optimization on Colors in Urban Traffic Based on PSO and GT-BPANN

Abstract:

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In order to reduce traffic accidents, achieving safety and harmony of traffic color, a quantitative research on traffic color of urban road were carried. Grounded on modern knowledge of color theory, color psychology, Grey Theory and Back-error Propagation Artificial Neural Network (GT-BPNN), Particle Swarm Optimization algorithm (PSO) and traffic questionnaires, the evaluation index system of traffic color in urban road, the evaluation model of transportation color and the model of color harmony and optimization in urban road were constructed. Assisted by MATLAB and other software, the reliability and validity of models were determined, taking a road in Xuzhou, Jiangsu as a test section. According to the results, some reasonable improvements on traffic safe color were recommended.

Info:

Periodical:

Edited by:

Shucai Li

Pages:

1162-1167

DOI:

10.4028/www.scientific.net/AMM.97-98.1162

Citation:

H. W. Yuan and W. B. Zhang, "Evaluation and Optimization on Colors in Urban Traffic Based on PSO and GT-BPANN", Applied Mechanics and Materials, Vols. 97-98, pp. 1162-1167, 2011

Online since:

September 2011

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Price:

$35.00

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