Abstract

For an effective thermoplastic pavement marking replacement strategy, the rate at which the marking’s retro-reflectivity deteriorates in service must be well established in order to avoid re-stripping that is too soon or too late. Against this background, this paper undertook a review of models that deal with degradation of thermoplastic pavement markings under different traffic and environmental conditions in order to establish service life and the terminal retro-reflectivity levels that have informed re-striping. Service life in the context of this paper is the time taken for a newly-installed marking to degrade to some minimum retro-reflectivity level below which motorists would find it difficult to navigate on the carriageway under night-time and poor visibility conditions. It was established that the minimum retro-reflectivity requiring re-stripping intervention reported varied, although commonly-adopted values tended to range from 50 mcd/m2/lx to 150 mcd/m2/lx. A number of empirical models, based on site specific conditions, have been developed by researchers using field data, to estimate marking retro-reflectivity at any time since placement. Whereas some of the models used time as the only independent variable, others used a combination of time, traffic level and a few other parameters to estimate retro-reflectivity. Even though degradation of marking retro-reflectivity is a reflection, among other things of material degeneration impacted by environmental and service conditions, almost all the models reviewed failed to consider environmental factors. Additionally, for some of the models, non-inclusion of the initial retro-reflectivity level and their generally low coefficient of determination statistic erode the confidence in their reliability.

Highlights

  • Retro-reflective pavement markings are used as key visual elements to guide motorists when roadway visibility is compromised by night-time and adverse weather conditions in order to help drivers keep their position on the carriageway and avoid lane departure accidents

  • In the context of this paper, service life is the time taken by a newly-placed thermoplastic pavement marking to degrade to a pre-determined minimum retro-reflectivity level below which motorists would find it difficult to navigate on the carriageway under night-time and poor visibility conditions [3]

  • The field of thermoplastic pavement marking service life estimation has been continuously evolving and improving over time, yet several limitations still exist as most of the empirical models developed for service life estimation tend to be limited in application to other localities and fall short in reliability

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Summary

Introduction

Retro-reflective pavement markings are used as key visual elements to guide motorists when roadway visibility is compromised by night-time and adverse weather conditions in order to help drivers keep their position on the carriageway and avoid lane departure accidents. Factors that cause deterioration in marking retro-reflectivity are varied but may include bead loss, loss of base material due to chipping and abrasion, deposition of detritus on the marking, discoloration of paint material and loss of contrast between the base material and its surrounding [1] In order that they will continue to provide navigation guidance to motorists, pavement markings should be scheduled for maintenance when they reach some minimum threshold in retro-reflectivity [2]. There is, a clear need for a more rigorous methodology to define and predict the service life of a pavement marking [4] within its service environment Against this background, this paper undertook a review of models that have been used by researchers to deal with degradation of thermoplastic pavement markings under different traffic and environmental conditions and the terminal retro-reflectivity levels that have informed re-striping. The intention was to define a pathway to further studies into pavement marking retro-reflectivity degradation as impacted by the service environment

Minimum Acceptable Retro-Reflectivity
Empirical Marking Degradation Models
Discussion
Conclusions
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