Modeling retroreflectivity degradation of traffic signs using artificial neural networks-Reference-Cited by-同舟云学术

Modeling retroreflectivity degradation of traffic signs using artificial neural networks

Published:2022-12 Issue:4 Volume:46 Page:499-514
ISSN:0386-1112
Container-title:IATSS Research
language:en
Short-container-title:IATSS Research

Author:

Jamal Arshad,Reza Imran,Shafiullah Md

Publisher

Elsevier BV

Subject

General Engineering,Urban Studies,Safety Research,Transportation

Reference80 articles.

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2. Evaluation of multiclass traffic sign detection and classification methods for U.S. roadway asset inventory management;Balali;J. Comput. Civ. Eng.,2016

3. Sign retroreflectivity: comparing results of nighttime visual inspections with application of minimum retroreflectivity values;Hawkins;Transp. Res. Rec.,2001

4. Minimum luminance of highway signs required by older drivers;Graham;Transp. Res. Rec.,1997

5. Determining the correlation between daytime and night-time road markings visibility;Babić;Baltic J. Road Bridge Eng.,2016

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