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Critical Insights into White and Yellow Light Marks on Various Asphalt Pavements: A Comparative Analysis

Author(s):

ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 8, v. 14
Page(s): 2525
DOI: 10.3390/buildings14082525
Abstract:

The traffic safety problem is of crucial importance worldwide, and one way to enhance it is by using high-quality road markings. While much attention has been paid to retroreflection standards and road marking visibility, less focus has been given to the effect of asphalt mixtures. Addressing this knowledge gap is essential for achieving comprehensive improvements in road safety. The present study investigates the impact of three asphalt mixtures on the retroreflectivity of road pavement surfaces. The findings indicate that white road markings exhibit varying retroreflectivity values depending on the asphalt mixture. Among the three types tested—the “Basalt” and “Zebra” dense, coarse-graded mixtures and the “Tama” stone mastic mixture—the “Basalt” mixture was most effective in enhancing road marking prominence, showing higher initial retroreflectivity values. Additionally, no effect of the asphalt mixture was observed concerning yellow road markings; data analysis revealed a significant spread in retroreflectivity values for white and yellow road markings across different asphalt mixtures and identified a relationship between these and the AADT (annual average daily traffic). The mean values of retroreflectivity follow a fractional power pattern, as indicated by the high regression coefficient of the cross-correlation line between the calculated and measured retroreflectivity values.

Copyright: © 2024 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10795066
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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