Affiliation:
1. Ministry of Transport
2. Research Institute of Highway, Ministry of Transport, 8th Xitucheng Rd, Beijing
Abstract
The testing and evaluation of the retroreflective materials are the basic work of the road traffic engineering quality. In this paper, artificial neural networks are used to make the study on the photometric performance attenuation law of retroreflection materials. Through the establishment of photometric prediction models to forecast reflection coefficient of the different types of retroreflective sheeting, compared with the testing values, the results showed that photometric performance attenuation law can predict the coefficient of retroreflection of retroreflective sheeting. This conclusion is important for the application of retroreflective materials.
Publisher
Trans Tech Publications, Ltd.
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