Modeling retroreflectivity degradation of traffic signs using artificial neural networks

Modeling retroreflectivity degradation of traffic signs using artificial neural networks

Traffic signs are vital for communicating guidance, rules, warning, and other highway agency information for safe and efficient navigation through transportation networks. Signs must be clearly detectable, readable, and understandable to fulfill their intended purpose. Poor sign visibility, particul...

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Bibliographic Details
Main Authors: Arshad Jamal, Imran Reza, Md Shafiullah
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:IATSS Research
Subjects:
Sign retroreflectivity
Neural network
Sign maintenance
Prismatic sheeting
Online Access:http://www.sciencedirect.com/science/article/pii/S0386111222000462

Internet

http://www.sciencedirect.com/science/article/pii/S0386111222000462

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