Analysis Of In-service Traffic Sign Visual Condition: An Overview

Author(s)	Toral Vyas, Riya Shah, H. R. Varia
Country	India
Abstract	This paper offers a comprehensive review of methodologies to assess the visual condition of traffic signs. It explores image processing, machine learning, and computer vision techniques to evaluate degradation, readability, and overall visibility. The objective is to enhance maintenance and effectiveness of traffic sign systems for safer roads. Regular assessment of traffic signs is vital for their efficacy and safety, considering factors like damage, fading, obstruction, and placement. Addressing these issues can significantly enhance road safety by enabling precise and safe navigation for drivers. The study delves into various aspects including shape, background color, symbol color, temperature, land use, visibility distance, and prevailing visibility conditions of traffic signs.
Keywords	Traffic Signs, Visual Conditions, Visibility, Road Users
Field	Engineering
Published In	Volume 5, Issue 5, September-October 2023
Published On	2023-10-12
Cite This	Analysis Of In-service Traffic Sign Visual Condition: An Overview - Toral Vyas, Riya Shah, H. R. Varia - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.7470
DOI	https://doi.org/10.36948/ijfmr.2023.v05i05.7470
Short DOI	https://doi.org/gsv6b5

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International Journal For Multidisciplinary Research